{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing packages "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data wrangling\n",
    "import pandas as pd \n",
    "\n",
    "# Visualization\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "\n",
    "# Date wrangling\n",
    "import datetime\n",
    "\n",
    "# Math operations\n",
    "import numpy as np\n",
    "\n",
    "# Random sampling\n",
    "import random\n",
    "\n",
    "# Keras API \n",
    "from tensorflow import keras\n",
    "\n",
    "# Deep learning \n",
    "from keras.models import Input, Model, Sequential\n",
    "from keras.layers import Dense, Dropout, LSTM, Concatenate, SimpleRNN, Masking, Flatten\n",
    "from keras import losses\n",
    "from keras.callbacks import EarlyStopping\n",
    "from keras.initializers import RandomNormal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Custom functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_X_Y(ts: np.array, lag=1, n_ahead=1, target_index=0) -> tuple:\n",
    "    \"\"\"\n",
    "    A method to create X and Y matrix from a time series array for the training of \n",
    "    deep learning models \n",
    "    \"\"\"\n",
    "    # Extracting the number of features that are passed from the array \n",
    "    n_features = ts.shape[1]\n",
    "    \n",
    "    # Creating placeholder lists\n",
    "    X, Y = [], []\n",
    "\n",
    "    if len(ts) - lag <= 0:\n",
    "        X.append(ts)\n",
    "    else:\n",
    "        for i in range(len(ts) - lag - n_ahead):\n",
    "            Y.append(ts[(i + lag):(i + lag + n_ahead), target_index])\n",
    "            X.append(ts[i:(i + lag)])\n",
    "\n",
    "    X, Y = np.array(X), np.array(Y)\n",
    "\n",
    "    # Reshaping the X array to an RNN input shape \n",
    "    X = np.reshape(X, (X.shape[0], lag, n_features))\n",
    "\n",
    "    return X, Y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reading the data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of data: (294227, 25)\n"
     ]
    }
   ],
   "source": [
    "d = pd.read_csv('data/weather.csv')\n",
    "\n",
    "print(f'Shape of data: {d.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dt                       int64\n",
       "dt_iso                  object\n",
       "timezone                 int64\n",
       "city_name               object\n",
       "lat                    float64\n",
       "lon                    float64\n",
       "temp                   float64\n",
       "feels_like             float64\n",
       "temp_min               float64\n",
       "temp_max               float64\n",
       "pressure                 int64\n",
       "sea_level              float64\n",
       "grnd_level             float64\n",
       "humidity                 int64\n",
       "wind_speed             float64\n",
       "wind_deg                 int64\n",
       "rain_1h                float64\n",
       "rain_3h                float64\n",
       "snow_1h                float64\n",
       "snow_3h                float64\n",
       "clouds_all               int64\n",
       "weather_id               int64\n",
       "weather_main            object\n",
       "weather_description     object\n",
       "weather_icon            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Types of columns\n",
    "d.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting the dt column to datetime object \n",
    "d['dt'] = [datetime.datetime.utcfromtimestamp(x) for x in d['dt']]\n",
    "\n",
    "# Sorting by the date \n",
    "d.sort_values('dt', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First date 1990-01-01 00:00:00\n",
      "Most recent date 2020-11-30 23:00:00\n"
     ]
    }
   ],
   "source": [
    "# Listing the min and the max dates \n",
    "print(f\"First date {min(d['dt'])}\")\n",
    "print(f\"Most recent date {max(d['dt'])}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Column explanations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The columns that will be used in the analysis:\n",
    "    \n",
    "* **dt** - local datetime of the observation \n",
    "\n",
    "* **date** - local date of the observation\n",
    "\n",
    "* **temp** - the observed temperature in Celcius\n",
    "\n",
    "* **pressure** -  Atmospheric pressure (on the sea level, if there is no sea_level or grnd_level data), hPa\n",
    "\n",
    "* **clouds_all** - cloudiness in %. \n",
    "\n",
    "* **wind_speed** - speed of wind in meter/sec.  \n",
    "\n",
    "* **humidity** - concentrantion of water vapor in the air."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data cleaning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total unique dates in the dataset: 271008\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total unique dates in the dataset: {len(set(d['dt']))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows in the dataset: 294227\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of rows in the dataset: {d.shape[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Features used in models\n",
    "features = ['temp', 'pressure', 'wind_speed']\n",
    "\n",
    "# Aggregating to hourly level\n",
    "d = d.groupby('dt', as_index=False)[features].mean()\n",
    "\n",
    "# Creating the data column\n",
    "d['date'] = [x.date() for x in d['dt']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explanatory data analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Descriptive statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>pressure</th>\n",
       "      <th>wind_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>271008.000000</td>\n",
       "      <td>271008.000000</td>\n",
       "      <td>271008.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.122913</td>\n",
       "      <td>1014.778763</td>\n",
       "      <td>3.763613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.421923</td>\n",
       "      <td>9.938621</td>\n",
       "      <td>2.075273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-28.970000</td>\n",
       "      <td>964.000000</td>\n",
       "      <td>0.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.330000</td>\n",
       "      <td>1009.000000</td>\n",
       "      <td>2.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.930000</td>\n",
       "      <td>1015.000000</td>\n",
       "      <td>3.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>14.330000</td>\n",
       "      <td>1021.000000</td>\n",
       "      <td>5.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>33.980000</td>\n",
       "      <td>1056.000000</td>\n",
       "      <td>27.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                temp       pressure     wind_speed\n",
       "count  271008.000000  271008.000000  271008.000000\n",
       "mean        7.122913    1014.778763       3.763613\n",
       "std         9.421923       9.938621       2.075273\n",
       "min       -28.970000     964.000000       0.020000\n",
       "25%         0.330000    1009.000000       2.100000\n",
       "50%         6.930000    1015.000000       3.100000\n",
       "75%        14.330000    1021.000000       5.100000\n",
       "max        33.980000    1056.000000      27.800000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[features].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Snapshot of temperature data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dt</th>\n",
       "      <th>temp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990-01-01 00:00:00</td>\n",
       "      <td>-7.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990-01-01 01:00:00</td>\n",
       "      <td>-7.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990-01-01 02:00:00</td>\n",
       "      <td>-7.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990-01-01 03:00:00</td>\n",
       "      <td>-7.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990-01-01 04:00:00</td>\n",
       "      <td>-7.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1990-01-01 05:00:00</td>\n",
       "      <td>-7.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1990-01-01 06:00:00</td>\n",
       "      <td>-7.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1990-01-01 07:00:00</td>\n",
       "      <td>-6.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1990-01-01 08:00:00</td>\n",
       "      <td>-6.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1990-01-01 09:00:00</td>\n",
       "      <td>-6.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   dt  temp\n",
       "0 1990-01-01 00:00:00 -7.52\n",
       "1 1990-01-01 01:00:00 -7.56\n",
       "2 1990-01-01 02:00:00 -7.67\n",
       "3 1990-01-01 03:00:00 -7.74\n",
       "4 1990-01-01 04:00:00 -7.66\n",
       "5 1990-01-01 05:00:00 -7.08\n",
       "6 1990-01-01 06:00:00 -7.01\n",
       "7 1990-01-01 07:00:00 -6.93\n",
       "8 1990-01-01 08:00:00 -6.32\n",
       "9 1990-01-01 09:00:00 -6.07"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[['dt', 'temp']].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dt</th>\n",
       "      <th>temp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>270998</th>\n",
       "      <td>2020-11-30 14:00:00</td>\n",
       "      <td>-0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270999</th>\n",
       "      <td>2020-11-30 15:00:00</td>\n",
       "      <td>-0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271000</th>\n",
       "      <td>2020-11-30 16:00:00</td>\n",
       "      <td>-0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271001</th>\n",
       "      <td>2020-11-30 17:00:00</td>\n",
       "      <td>-0.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271002</th>\n",
       "      <td>2020-11-30 18:00:00</td>\n",
       "      <td>-0.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271003</th>\n",
       "      <td>2020-11-30 19:00:00</td>\n",
       "      <td>-0.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271004</th>\n",
       "      <td>2020-11-30 20:00:00</td>\n",
       "      <td>-0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271005</th>\n",
       "      <td>2020-11-30 21:00:00</td>\n",
       "      <td>-0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271006</th>\n",
       "      <td>2020-11-30 22:00:00</td>\n",
       "      <td>-0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271007</th>\n",
       "      <td>2020-11-30 23:00:00</td>\n",
       "      <td>-0.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        dt  temp\n",
       "270998 2020-11-30 14:00:00 -0.56\n",
       "270999 2020-11-30 15:00:00 -0.57\n",
       "271000 2020-11-30 16:00:00 -0.74\n",
       "271001 2020-11-30 17:00:00 -0.92\n",
       "271002 2020-11-30 18:00:00 -0.93\n",
       "271003 2020-11-30 19:00:00 -0.92\n",
       "271004 2020-11-30 20:00:00 -0.85\n",
       "271005 2020-11-30 21:00:00 -0.85\n",
       "271006 2020-11-30 22:00:00 -0.85\n",
       "271007 2020-11-30 23:00:00 -0.67"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[['dt', 'temp']].tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot('dt', 'temp', data=d)\n",
    "plt.title('Hourly temperature graph')\n",
    "plt.ylabel('Degrees in C')\n",
    "plt.xlabel('Date')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hourly data plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S0XoQbKEQGARBEARBEAThLkiBEaHcO3UNluw67nQ1bGHZngJHy39h5hbsOHIG6w6ccLQeBEEQBEEQBEEQkQwpMIiwxS1ZIlxSDYIxXoqCQRAEQRAEQRCughQYRNjiNsVBVbXLKkRYwm39iyAI43i9Xvzzm7VY7rClHkGwZP2BE7jrq9UkdxAEEZWQAoMgLHKypAIAEOPxOFwTgiAIQkxZZTV+WJ2H6z9a5nRVCIIZd3yxGjPWH8LBEyVOV4UgCMJ2SIFBhC1uOXdIS05wugoEQRAEQRAEQRARDykwiLDFLTEwyPCCIAiCIAi7yCPLC4IgohhSYBAEQcjgEv0YQRAMoOFMEARBEJEBKTCIsMVtAilteAmCIAiCsAuyACUIIhohBQYRtrhFYUACRGRiVxrVvBMlGPf+Uny1bJ8t5REEEZkUlVXixVlbUV5Z7XRVCCIi8Xq9eH3Odhw5Vcrl/qdLK/DirK2oqKIxTBBqkAKDIAjCQV74bQv+3n0cj/64wemqEAQRxrw5bwfeXbALX68gZWi04KETFFtZd+AkXp+zA/d/vZbL/V/5fTveXbALP67O43J/gogUSIFBhC12nZAT0YldFj6HT/I5ySEIIrooq/Cd2lZU0doYLbglmHm0UOm3jCjjZOVUVlkFAKioJgsMglCDFBhE2CJdt08WV+DjP/c4tqCTQoUwAx2gEdHEL+sOYkf+aaerQRARAekv7KWq2tfgxeVVDteEIKKbOKcrQBCs+NeP6/HbhsPonF0PvXPSbSvXA9qBRiJ2yYXUf4ho4p6pawAAuZNH21IebfCISCY+ls4h7eSPzfkAgC2HTjlcE4KIbmjmi3CiybzwRHEFAFAAM4IgCIIgIpaUhFgAQAzpv22luIIsLwjCDZACI8KJZP2F9Nl4asRLK6rwzcr9qgohO9q6oKgcv204FPL54h1Hsfd4Ef8KRBHRpPyLJjbmncQD36yzvdyConLMWB86dgm+kGsfEYkU+V0Yjp0pd7gm0QXJBQThDkiBQUQMhX4LDB688vs2PPzdeszZcoRbGXq49bOVuPPL1Th2pizo8+s/Wo4hLy9wplIEEUZc+Naf+H71AZwu5TdfyPF/n6/EXV+t5pZ+j5AnGvcbUfjIUcsFby52ugpRRY9maQCAWvGxDteEIKIbUmBEOJEsyCidrPGwqDx62qcwOFNm76ZHyoHCYgCgHOE2YNvYIRNgR7B7bjx4wqe44BW9niAEaEohCD40rJsEAOiVk8apBBq9BKEHUmAQYYtbTtbszCIRbQEfN+adxL7jxU5Xg4hAYmxO/yKkx6uWTFz5p0qxam8h8/K255/GziNnmN833HDJMkEQRBhzurQCi3ccdboaEcuO/NOUnYowBCkwIhzy12ODnla0s6Wj5bVe+NafGPzyfEfKjpY2jlbsVgUKvuqLdhwL+nzYqwsx9t0lzMsb8doiDHt1IfP7EgRBRBv3Tl2D6z9abpsLYLTJH8NfW4Thry1yuhpEGEEKjAgnkudAJ54t2iwgCP5Qj7KXOIfD9hcWBQfdO11a6VBNooNoVOLbbFxEEBHPDr81Wym5ABKEKyAFho0cO1NGJlIMyXdZMDypaTgP7BZMV+QW4K+dvhPjM2WV2Jh30t4KOEn07XuiCqdeL+0tHSIKxrNTypp9x4tx8ESJI2UDQFFZJT5cvNux8onIJyB7+ceYJ8K1hMfPlGF7hO1Xqqq9WJFb4HQ1CEaQAsNGzv3PAttNpOzYVDvFea/YZx6t1oyL/SbhU5bk2lMZG7nivb9x7YfLAAC3TFmBC9/6kwKIEmGNIHc6tdlrXj/FkXKjlchdAZWxe2s1+OX5GDB5ns2l1tDxqdl4dsYWzJRJMU4Q4YRb9CLDX1uEERHm0vHO/J244r2/sWz3caerQjCAFBg2csoBU+EI1l84gtrisudYkW31cOK1CoEGI1kpJkYpyw1r3CKwRBt29+JezX1R6xv7o9gTBGuiY2ZWhoLWEpGC02O5QOLqGAlsPXwKAHD0TJnDNSFYQAoMgtCBYEpn5969pLwKe48HK0XcsNd1Ig5IdbU34swZiVC8Xi+2HbbnPduthyNFlTNEib41iEg3b1eisjoKXzZhC6UVPstT1j1M2FQLROfItYcy/zuMVZkftx4+FZVxk8IRUmBEODQOrbN6XyG26thUsW7rm6eswJCXF7C9qQUqqnwPWOWAkPjO/J0Y8doibDpoXwwOGjv288WyfRj5+iIs2XVM+2KT0Ht1jlOlFU5XIaKJ9r79y7qDTleBiFCOnvad2gtyEAt+WXcQo15fLO/65JLBHElx+7TWn/nbjmDU64vx7aoDNtWIsAIpMCIcu8zgI5n9BcWBf6sdbLE+9FqyS9lPzwkNcUKcb7pwok+t3X8CAHDwhLsCt7KAMtvUsMkfJHbv8WKNKxlAU6PtlJRX2V9oFL7nKDXAwPEINHsn3EVVte8Un8UQE6xKd7jY9enQyciRuWonxgEAEuPlt767/O9h66HIUdpEMqTAiHDs3OdWVXuDcmSfKat05sSNsfAmNsdVy3xih8zopGmwYHYn7lMHT5SgPELTikXhvieqqKyuxuEIEs7CASdmL1LiRw9OK26OnSmL2PWQsBcnLF0JIpwgBUaEY+cU+PLsbejz/FwcOe3bFHR/5nd0efp3G2vAn+d/2+p0FRxH6FPV1V4MmDwP//51s6P1CXecFrqjDcFPvuezc9DvhbnYfPCUxi8IVsTFkshB8MPpqbTXs3Pwj6/XOlwLgie8DwXPlPmC/T/9izvkqjpJcU5XgTku8c4hLELSRIRjp6vBvK35AGqiF7P0FQwHeFlHyL1DJyZgafrJKv9/P1+617ay7cSusUMKjFDs7N92Zg+KduJj7e/s0SSsRru1iZMWisJ6MYNSuUY0LEeY3Nx0xoFshWqkpyQ4XQWCkIUUGBFEcblv4jtZUuO2wVucKSqrmWwr/QqLSPPpd/pp5Ba5kgoHfMn9BCwwInxn4IXPjFPqt19V7UWpA+1fWlGFyioyTw53IvUdVlZVOzIu1Kiq9iLvRInT1bCF0oqqgNm5sGaJ1+doIMbBxZos/vkj7uNOIYg9vOQfufsKsr0TRGK/dlJ+1qK0ooqCXetEU4ExYcIENGzYEJ06dQp8VlBQgOHDh6NNmzYYPnw4CgsLg36zYsUKxMXF4bvvvgt8NmXKFLRp0wZt2rTBlClTGD4CAQC7j57BWU/Oxu2fr0LXSTVuGzz3mOsPnEDHp2Zj1sbDvjr4TzLdJsRaRetQR/i+WXoyl/LlXuGI1xYF2t1uhD7lhP7C7uClT07fiA5PzkK1aBW/+6vVaP/ELFvrAQDtn5iFGz9ZYXu5BFuu+XCZ01XgwjUfLNMcF3ZPGa0e/Q0XvvWnzaU6Q/snZmHq8v2Bv2dvOoyOT83GOn8AZIIvwsaTLOr40f6JWXjou3VOVwMAsHiH9UxZq/f59k7zth4JfCadI//aeQxnPTkbS3byy8wVbdz91RpZ19Fy/+GCkwqE9k/MijjXe15oKjBuvPFGzJoVLJRMnjwZ5513Hnbs2IHzzjsPkydPDnxXVVWFRx55BCNGjAh8VlBQgEmTJmHZsmVYvnw5Jk2aFKL0IKyx0x89d9YmyaaWo8S4wZ8xYOH2o3YV6QhaFiVX9WoKABjZsTGX8pU27Yt3HJX9nDsOKjDsxOsFvlnp2xBUVNecms9krDgyYrH0JwkxhEHsUvotzy2wpRxCH3/6N1jrDpxwtiJRgqDAiCENBld+WJ3nSLlCBguWYXxW7fXtg9aKlIzS6XrZHt+86tT8KmSfizQ2HTwZ8lliXCyAmndNuBvNnjl48GCkp6cHfTZ9+nSMHz8eADB+/Hj89NNPge/eeustjB07Fg0bNgx8Nnv2bAwfPhzp6elIS0vD8OHDQ5QihDWUfD95+sQKGy8nUnraiV4LDF6IW1dclp1yktfrDWyzhT4VDf7WsX6bZKfNVgnCLNR1oxCPJ+BOUU0dwBYEMYjUF5FJSmKsLeUouaY4JWZHunxPhC+mVGv5+flo0qQJAKBx48bIz/cFb8zLy8OPP/6IO+64I+j6vLw8NG3aNPB3dnY28vKc0aLawbTl+5AzcQaOnSmzrUylRZPn3BMQkCSFOL2As4rBcaq0AjkTZ+CTv/boup7Xhl5o3pdnb8WBwhp/bqdijfR+bg4AuzdGfmWZjSV64Q3EdamopEXcDujwkj1avtrvLdyFnIkzbPGzPnqaz5qYd6IEORNnYPpaZbnCSYVr10m/Y/Sbi20rr7S8KnCo4ZZsBnbQpF4tZvcqq6xCzsQZeGPODl3XP+PPxlXJcGEsrfDVIWfiDGb3JMwhyFtxMewsEpr63Y4b1U0MfFbGOQ3v1sOnkDNxRojltBKkvyDciuWR6PF4Agvl/fffjxdffBExFgb4+++/j169eqFXr144etQhE3mLTFvhMzvfV1DscE34BlqM8WswpOt1pGxCjpzypYNdkavl7sT3gQXB+4NF+hQpXOogesdCdplo0MwL44erJVOEjBfCnWitAZ/+lQsgOPgzL/Yd57Mmbjvs82f+cY07D0ZOllRgk43pek+WVETlvDK2RxazexWV+WJ5fbJE37r71bJ9zMoWOO2yjBQEUCvBZ4nRrWmq5Xud38nndnx5z+zAZ9Kg4awR5Nnfpe7mhOOHr4QxTDn6NGrUCIcOHUKTJk1w6NChgLvIypUrcfXVVwMAjh07ht9++w1xcXHIysrCggULAr8/cOAAhg4dKnvv2267DbfddhsAoFevXmaq5ziCuOiGwcBziyn4eoZaYLjhyVmg7zlq0ovyqYVb9QQurRY7vECdpHicLKlw7TsgCC20+q6gnLNj3o7hlCaixp2Ry+3DDi+8FIuBEU62Ir3CGtxyYCJUo26teMv3Eg5/xVYd3LO7Gby/S5qdORH6WFGFKVOJMWPGBDKJTJkyBRdffDEAYM+ePcjNzUVubi4uv/xy/Pe//8Ull1yCkSNH4vfff0dhYSEKCwvx+++/Y+TIkeyewm0EolHbt/o88v16tapwIRATwWUzQYXNaQqFhfX4mXJby7U1BgaC+3POxBncTlPlmLMl37ay5HBZFw9LHvx2Hfr43Y+IUDo8MQs5E2cEgi+yQmt+Fizo7JhPkhM4+ZHTRi8EJ1KKlnM2f9eC5TztdUCOk6K3PZ1udztwi5zJwxpT3MXscs1V6tZTluQGuSyxeN67v1qNIS/Pt3wfprikPxHm0bTAGDduHBYsWIBjx44hOzsbkyZNwsSJE3HllVfio48+QvPmzfHNN9+o3iM9PR1PPPEEevfuDQB48sknQwKDRhJOjIvjRfKbZ56m74LSOMQCw2FhMp5RmGi9zyFoz1OTrWvkjeC0zL5093GHa8AXn9LG/2+3SE9hzHerDjhdBVcj5KZ/e/4ODGpTn9l9tU707Aw+2LBOovZFFqBRWoMTFhjF5ZVIiEuwvVweuMGStkBBrpNypqwS6RHS7ko4PbaF4VTNeb6sqnZWGfXqH9uD/mYh+vy6/pD1m7DGaQGasIymAmPq1Kmyn8+dO1f1d59++mnQ3xMmTMCECRP01yyMcVU0aq5BPOVjYDiN3XIb9ywkLmhf2sATdsIvIG7ofZ1WuEphvfHUNkm276SZ1zTislfoCpywHIh1wuyDE25Y8vS+wmhYn13zjCzrIXMvt8nTLqsOV9wkC3i9Xketv8KByEzw6zABn2IX9D3Wk8/S3cfR6tHfUFhUHhhcQrBLAbXnPnKqFDkTZ2DNPq3AmM7jgtenygkbgu6JkbYHy2jrerFThhGXxbJYN4yBTQdPImfiDOSd8GW1eXn2Vvzzm7WO1QcABk6eh6nL93Mtw23CoRys1w2tZz7md33bcoh/kElezS+sRa7Z5LgAO4KySonEuBtOPlKCTmvScJjXrOKWR2RRj+s/WobHf9oQ+NsDD4rKKtH28ZnYeeRM0LWsu5/R+kfjnOqGZ3ZBFVwPKTA4UGOB4fxiznoQ/HfBLlRVe7H2wAnE+lf29BT9pot/7vT5d09Zksu2Yhwwqv3kNekpnUbXYxBESn8dQmHlquNmeMR5ccMYECLmz9t6BADwzvxd+GG1sxkcBGUKT6rCQNJnvm7ofOS35ulLF2kFXnOk8yut+9iYd9L2Mp0eXUwPxx1/Gv2ylRs2XLxxyyMG5HsLk87iHcfwxdLgrDV7jhXZGstEaZ2R9iWXNDtBhBD5OxAHYDHBsYL1IixMbmonLWoLjRvahDW2PZJH9U+uyL3TCHyVQYjHDstxJB0DYkWZ7YKoW6RCm+Ae4Z0B7C0w3PPMvGviokd1HF4ZX9RweiMdreqxaOj2TiuUag4zOPUyl3azaJxT3eC6EYXNbhhSYHDATR1v+Z4CjHhtIUor2OSWFsf3sDLGebYRq6lH730C5suMygWAyTO3Bv6951gRBr80P0Q7X2XjyrKvoCjkM2f6uZtGlzmKynxjcf0B+09IBVywPgdh18bHCbcno9SKj8Wrv2/DYz9u0L5YB3oVGHa8Ah5lTFmSi7u+Wu27fwTMDyyIjYlBCq+MLy6G6TwSRl0pEjeZh0+WYvBL87G/wJftTPqMt322El8s3cu1Do98tx5vzfVZpgnFV1Sxa2wnXptSXzlTVolzX1mAU6WVQZ9HUoYbr+IfkutsGlD3TVuDDxbtlv2urJLNni2SIQUGB2rSbzlcEQBP/bwJ2/PPhPjVmUUQEGOCTo0l16hZYITBaYZZWM557y3cFfj3R3/uwb6C0JSleiOUs+Czv/eGaHScPm3jTdDjMXzU1f7YF7uPySiFIrtJFbFLrxAOLiTntG+IN+ftxJfL9mlfrAO9j2xHy/CYM576eRNOS4RugabptZiXFw60b1wHQ9s1sL1cp0cXjxgcbpDjtHCTlRUrvl99APsKivHVcvl58PfN+Xj8p41c6/D1yv14xZ+VQ5hjhP7Asls40cekZa7ZV4jdR0NlkrjYMBgAOikpV1cK2P2k09cexHO/bZH9bo+MfEgEQwoMjrhhsy4I7KwWdiHDk9rt9JyChcN6a7TJ7H4kO7Ntyb2vSBSapPCwrgkpg+O9wwXbFAth0GVZx5bRqzSwQyFptwtJdmoy5xLdiQf6A0BGEizXpDCYKgJE8losPJrTjyjEHOOXSUldEnDq8Z1ud5akJGom3nQNbtg/up3oW+FsgGcMjKpqL+78chU26DQ/P1MWrDW2SiDDiugz6b2jLgYG52dSmsjsFFrklFI8i9919Axu/nRFyOdlfnPGN+bswCd/7WFSVu6xItz0yfIQ7bwXfIJ4qm0sxMX8tuEQnv11M7uCXUw4WEZYZUWuM1lnShTcB6urvciZOCPwtz0WGDYUIkLp2Vlw/EwZbvh4OY6fKdP9m6On9V9rFWdiYNheZBBLdxcwu5ewvjohspwsqcD1Hy3DYUmGNyWcbnc74Oke9vB36/DnjmOq1whyXqBf2CTMehgLIUqKaiU5kywB2PP1in14Y4560OxI3CuxhhQYHOHRAfcVFOO3DYdxz9TVuq5nrUwR9hli4SjEhURPvdhUhytu14DaOcHJW2DwK++p6Zsw158hQ0xinG/Kem3Odkz6hc3m/tkZmzF/21Es3nHU0O/Mnlj3b5UBAOiSXQ8AUFElb0pz55er8eGfbJQ0bseueC7RGCNhya7jsp8fKwreTLeon8K9LrzbX9qN1u4/ofidVab8vReLth/F5wb88D/8U97fmTUej0OB6BweXnO25DO7l5PB2H9cfQCLdxzDf+fv0r4YQF0bM5I5Bc8l4puVB3DdR8t0XctS7hE/k2Y/Y9wR9d7t2RmReYiithbxnsYe+X4DXpuzXfUaUmBoQwoMDtRYKbinB7JyIRFnIZHeMUaioY427I4JYWf/ElsjCPB8z874hAYXKn6fLC1QBBeBzHo+//xa8TXB9pT6EOu+5bYhKn0+Xn3bbc9tB4rPLPk8KZ5/0Efe7R+NCiolHDDAiChqLDAcsGTh/oPww+lHlFpgRBpKMleEPq4sbsg+IsAjnk+kQQoMDhw+6TP7kwu8KGb5ngL8d8FOU2UYnVMOnyzFP79ei1OlFabKE8grLAEgLxwJmmk7zGSl5v7rRCdtK/cWmm5XM7AWcN6cG2xapjWP8VKciKMge72hfe5LjhHA7Vw0xZl1tK4J+oxDXSqrvXjsxw3Il5gO29Uek2duxbbDp5ne8535O/HHZvWTUemcwWsjGkWyWAAlgVt6kvjVsn3o89wcy+V9+tceLNgWaj0F8O/H1V7guRmbZYNWq2Wg+WNzPr5iFDRVDQ88mL42D9PX5nEvi5cA/PGfexSt1SJJgWSlrxq15pMiuEraGajbST7+cw8WbZdvM6Ebs16X5NiefxovzNyiKlOdKrEmQyuhOVwjWJMQDS6kRnntD3ULDYIUGFwQ0hDd+tlK1euu/N/feGnWNkP3NiuS3DJlJX5Yk4df1x0yeQcf9ZITAACJccqndc8wMu1XQxqZ+uJ3/gr8++XZ2wy3q5t4VefEJbge8FrXZqyv6StyC/rBk/r8c91OjU9r8Odeb81nck3MQ3G0YNsRfLlsX0h0dW7Lu+Sh31u4C9d8sJRpES/P3qY5F456YzHTMpUIh8w5rLedvXLSdF97hIHy+elfNuPGT0Lj1wD8N7iHTpbgg8V7MP7j5QCAAX53LS1u/WwlHjWattZkX7pv2lrcN22tqd8agZcFxjO/bsb1Hy3nc3MXYcWFxGr7/LTGp+D6e7e8+xcAdG2aGvh3uCuOnvl1M274WL7NhPfAel2S45oPluJ/C3erKo6EQJBKrp9GEMeUUzoIY31A5mRPUVp/V+ayi10TKczceNjpKrgeUmBECeX+yZbFpAsEL+rSxVOPNtXqRsKOjYhewSWwybV5ZUiM5zt8xc8TBvs+0wiPZlfWGWkx4nKFoSNtb25mqzL3deJVS3PNc3Mh4XJXHeXa5BokR5zCTtaJTY9d84iwBtnhFmOkr9ppFeyI60MErRNOBvHU045JcTXrfyS1u4B0rKhZULFCmDfUXAmEfpEYx07+coPLrB1VCBdDi0gcT5EIKTAc4MPF9gTy4sGWQ6cAmE+jKkyahcXuNY08croUr/6xXfckFggSzWlDUKmgdBIEVJalHjxRgjfn7oDX68VHogCSG/JOuiiiC1uE91xZpRLUSW6jb6LhNx88hbfmGXNv+uSvPcwXVLXxG2m+8+WV1Xj21804cqpUVzvuPV6EF2dtZapcUBLc7BCUhDK+Wbkfq/YWatYpnFCKnXL4VCm+W3XAkTmroqoaL87aitMy7pqs6uP1etHr2TmY6w9a6YRl0Qr/qalVdwk7mL/tCGYZPNGs9OcpP8nJZcAoguwlwPuNb8w7iS803EQ/+WsPth4+pXqNVQS5ikcfn7H+UFD/LSz2vetdR0Nd0AL1CVTD+mieunx/4N9ya/LkmVtRXuVz5a2o9uLFWVu59Mf/LdylaDXHEsUMKBw1OEVllZg8cyvKKqs0+1CkhZ3YX1CMd+bvDAvLUzOQAsMBnp2xxfI93Nwf1eomDKS6Se6Nmv3AN+vw5twdWHvghK7reU96CxR8QwVYTk53fLkar/6xHTuOnMFmkcC0+dCpgGuUHZwuky+LR78X4sLEyu7cPYrlmlFY3TttTVC7istQKmfSL5tt9RF1IpBVPY5R9BdtP4oP/9yDN+bu0PXOnvp5E95dsAu7jrJLH6c0RrUsa04WWxdWhRIe/m49xr67JPB5bb8ptJ2wHr9bVfziH/x2Hde5WelRflydh3cX7MIrv4e6ArKqT96JEhw7U4abp/hcs0Lb1cP9SPWK9/4GEOwu4bRY0r1ZquznN32yArd/scrQvWZu8Ck8isr5peJVYnSXJgCAdo3qBD67X+p25JX9JzMufOvPEFdGKZN+2YzzObn/SS2IeDzjXV+tlnX3Efq2XH1YyltaMU7eW7gL0/xKjhnrD+HdBbsweaa1/YNc9V+YuTVgpc0TpZbjOU+/OW8H3lu4C9+s2B/0uZv3UAJW+9qNnyzHy7O36U7HHG6QAiPMcIuG0AOPctRild8Jm0S3PIccQoBQt2gti5UEKA5tWFLuUxw4/ejpyfYpuARlWoxEgaHVBmbaSC64oJ6xYGfkcyeGZkbthKC/WVozCYJZQVG5Lin4gD9QMcvxr3QnrRJYvHelWziTZZNtP5a2jxtiAQj9rawydEPAyq2jokr63O7A6TVzaNuGzO5VUmG/4kIgzb/+ZafVCny2/Yiyss7JdudetIJbpVMIZwms50+l2wmuM5Uq80q4oPQOeVp9Cu6p5SoWtm7Fap8X9jKRGiSVFBhRxlM/b8LxM2yyhHy3Sj6SulsWGrOYrT6v51aafGpcV2ooq6zCewt3MYt1opedR87g+1UHLN1j2vJ92Jh3klGN9BOIgSH3nf+lFpdXYfW+QsxXyK7Ari6+8k6WBJ/MVDHsXPO25mPdfuV2diJ9126G1g5qyLXimn2FMp8yLldSsKDIkhvby/fUBDQz89b3HS/Gd6KxqLSpt2OePlBYjK9X1ARclitz55HTzLJy7C8oCfpbak10orgcH/+5BzPWH8L2fGtZDZRGifBu5YYRq6EVkrUnpGHDfBE2yf8W7UIpI8VDaYXzG8W5W5XXG/G4rqr24n8L2T27HuSUJt+u3I/9Gtn39KIWQNtJBKWpGdeZwiLf/GMEYXMvLBVrRRn3wg1lBXPoxPjTmjxVVx7DZUv66/erD2DvcXm5Q1zPZbuPBwW0txOrff+Y38In3PdkSpACIwrp+az1VHleeDHH738rPQ1y35JjDKOnGbxN7s/v1Fj1e3F1P1y8B5NnbtX0XdW6l9FHGvbqQjzw7TpTZQpM/GFDIFuFnW4MwvuWlumFF8f9C8DLs7fisv8uwU0iP1Eei4IgpEjN+6sZatAnfLoSG1QURW6IT8MtiKdMM36w2JhAaapcyZw47NWFACCbbvTrlTWmrmZOVi9+5088KBqLTgovV/1vKR75fkONVZvMNcNeXWQ6K4eWsk367cPfrcczv27GXV+txojXFpkqU0CpWT9dkuv7XuYCVr362RnBmb6OuyTdptMrf3F5Fd6at0P7Qh0IMTDcgrTviPvX96vz8MLMrSEp2Hki7d9erxcPfbcel/73L/kfGMStRrrCY0uVpXp4yD//GEGQSwQ3ALuU/Twwshbd//VajLQ4RwPKa8SK3MKg7IWAfJ+76v2luOur1ZbrYQarllWpftdcN1u8W4EUGGGKG0xlBeJjjZneA85ESOcNrzeSmVpL+yI/p/1xKhTdTjRQs0awg0MOpmZVe2a5wFmsxqC43Fj/SiNddO2IwC5Qv3aibWXZjVPzptKcqDVOzdS2UBI3w0kFxjGJtR9rVyjp2iNFKridYBgAT3gUQ+bPjCTJ05J4RNL5wet17waQN9K2MYudbntWEVw/WT27HkLct/x/HjvDVplmp3tMLZWsRcLQtdIvpJaVNfdWHq2RNI6NujOykHsClsoytzrBIMYUT6w+vSBHysd3C39IgWED5ZXVQWa0VhA2/vmn2LiBmEVs+hyiiWdURkl5Fb5dud92/06jpalNkDwRFj25TZkROVnonyxO+Z32gTaDUpXFnzvtQsjLh/GntQdx8ITxkyRW7DxyBkt2Hgv5fPMhdq5Ef/rv7/UaG6MzNhzChgMn8cNqa65RszcdRr5MEK3ConL8tPagpXuLqaySX2cUBW4b+nRAIcop1XRcjLoIE6IoN1D+ytwCbDqo3A+1lGGyLiSif5dYCA6pZ55l2dR61wivF9h08CRW7S1QvY4nXq8vY4eQJcUsZxgpA46cKsW3K/drXyhGxwIufhNCgG1eCtrdR8/gzx3B87S0K7Au+e/dxxW/m6/iWmMFPa6av2/KN31/tYM7pVfO2hpVOIwxK1sv3H4Ue48XYevhU0HujnpQ6p/SJ2RpcapVtpuxul4KzxyJB8YAYH8Y8ijkrXk7DKdOVEKYYMstBPI5q0ldy/UQuyhIxxirhf/J6Rvx7aoDaJ6Rgj4t0pncUw81bhTyg97r9cp+x2uCVFpkumTV839vrQ7/XbATr8/ZgcS4WMsKCK+XzSGjndNtYJJX2evItcva/ScwoFV9LnWRwssCY9XeQlz01p9c7q0HwZVCyhdL9+HZSzozKeOrZaIYDArXVFZVIy42eDP8+pwdeH2OzyS7dcPa6JKdarjsyqpq/N/nq9C4blLId/dMXRNQrihhZDh+uiRXNsPVd6sOoJN/rnAe5QcqLq9EcgJbkcTKXHS5PxNB7uTRst+bcbcTX9v7uTnYOGmk2eoFIT05Zj1bvD1vB96ctxO1NN6PF16MftM3nyi1G2+qvd5AZgwrdWClXHzq502YufEwhrRrgIZ1QucBvYS4OIomB8FtadNBPilNz33FN0+L25O3hcqCbb7sa3LF3PQpn5SfeuSfPccsuHCozhXyX0qt2Kzyht/NqKi8CrM3HcaoTk0M/X78x8FZW4yMseLyKtk5Xmpx+r3FQwMxYuW5Xgtft5zDWd1TmHUJDxfIAsMGWJvUWaVjpnUFhviZpIO9nkoGCSMTwz5/MCinfFGVUx9KPuB0uqiFNHODWY773+Wp0oqQE1OjhJPZrUBgklc9HQn9rqiMTcA0XVlIOJqAuMV/3g50j2kJZgP6CbeVS2N28KS25YsRhaJS7BI59ydf3ewzwfBK/iuHGSsjrfnGDsHNyAmpeI45o5Aq2gyxMnVg+ehH/ZsoVocTrHGzhfQ6f9DF0Fhh7ClmtCbpIdSFhNMBDpe7ymNkDhrStgHHmtjDKZvHs2JAesn4VVqzzFBjqQwUlWs8r8t2+tYtMCIbUmDYQBnDyNAsFmq9nbq0ogo/rzsou3kSW4AcL5JGRA++9oiM8L5ox1HN8gWz6yTJ6VLusSJMXc7GJUeOmk28sgWGGMGMjtcCftBEXIgvl+4zHK3a6wVOBRYOcx2NxT571kbliM9nyiqxcHtN3ykqq8Qj36231PaCC0WIBYbGPVm5dYg3NUKR0ujzVsradvi0bPrWaETplbLYCFdVezFr4+FAv1m4/SiKVDapekaY3rdeWVWNX9bJj5vdR89gy6HQk1kW09Xe40WqmYPKRdmQZqw/hBkb2EZz1xoWPE1nnRQOxWVXV3tDlFFeL9v6CfOPpvwhKnTxjqM4VWp+I3LwRAlWizIElZRX4aFv12nOy24V2g2tUSZdhOw8QFByIbG6Bzx8shSr9hZqX2iBeVvzZTO2iJ9Juok28lherxezNx0OpD71en1rg9pBhMv2zlw4WVKB+VuP4J9frw3MKXuOFWHroZqMUHkMXVoPFBZj/YETAHzxLowGXl20XXufopeth085JoeF4bmiLsiFxCHMbrjEAtmK3AL0zuHnWvHpklxMnrkVdZLicE674PzqYtPnpDiJ+ark2S58608sf2xY0GenSytx5HSpqkll7nGfBcaM9YfQo1la4POh/1lg6DkMY1BAWrPvhJ6fmUYrhZNcuXknSnDJO3/pMu+rMbHzIjFOOYiVHsxutMUL++1fKEd8fui79UF/d3xqNgCgYd1EPDCinamyhX5mVH7gobBSuqMVwXTk675I3npNPVk+l5yQqOSC5SRa/bZSx+npewt34eXZ2/DedT3QJTsV4z9ejqHtlE/p9LSBXlfB3zYeDlisSVl34GTApJ41Q15eAEC7b3nh1Yzkbq5PqL+Xco7ppLWGiVw6SfEj9miWyqQeny/dizFdM5ncSwmhGWMMnKBc/9FyDG7bAJ9N6GOqzEEvzkO1t6ZvdXhyFgAgNTkej40+K+jaYHc/U8Uxp6CoHOkpCczmOrUsJAK7rbg3GEQpiKdVhv5nfpDFG+v3uengSUz4dCXG9Wmqet2dX65S/f6wysHS/G1H8H+fr8K957XBP4e3xe+b83H7F+r3s4u2jWpje75/I62jbVnKA+LMTxvyTuKPfw7BORJ5fuDkeXh8dAcm5Q16cX7g3+8t3GXot4dPluIGibuMFUa9bt2tzSjCqwtHy2g9kAWGDSTEhTYzi/5UyNn0W9AWHhPlnJeL+p4YH/x80kc7clreh69Mp1m2NOc9bwInCUrfK7w7u6cI1nOSx+NBor+vmpW5zJqlW51gmaQWU4mBIdccRoR51WL1uJCE6QIkF7vDqUfxwmt67MZpZLsAgAOFvtOd40XlAcXN9sOn1X6iid5xeMjEqZUdr0GIfq4vM5VxtPSlPF2vlGLnCMgp78SXipXyhssWPdahk6Uh79ILtiYYwiZGzlUluNxgdlk4cVR6dXIxCNw4PVZKlGd21JFXsGc5vJx0g2bd9fQiWFbkHpNX+ArsyFfvuyUqltWCW+6BQl8ZemR1u1T6Izs2NlQor8OGHS62CvXCF5PJaVjNGS6cHplACgzOHDlVKivgmO1QLOYSKwNTzo+zqtobFPG72uvVZSqltimrEC3+ZZXWXXA25p3E75sO67pWa9JQ2qQfOlmCXBtPQARY+bJ7vV7LJzhmJ1w90b95c9JgSi1WEaLFrFSInC8nl+4vKA455S2rrLKcAeCQjMuXmF1Hz8hm1ZBDbow79aa9XmCpQmR7TRcSHfcXXAVjPJ7Axl3Nl1fPHMlzWNiZMUhPSWZqo/Q+BaTrZSmDteRkSUVQdhLBKrK62htUHzn3FXF91uw/Iavk0IN0oyr3LlnGOBHGh5b8sf5AqDvRityCwGZ+6e7jDPpdcCVCY4kE319pTuWOFVnNYBYSnojdgMR9X5qhR+hvVl6v3HiQjjenkG7k1V5R4Fp/W0gDRIdeb6VmxhDLDO6yg6zBKXFQ3B7b89UPH1bmFgTtU7xeL/7exWJ+q8H6HO77/bbDfIL7Og0pMDjT5/m5kJsmWJyomr3Dbxv0beT1lrN4xzFc4Y/YDgCD2zRQzC4gRi1Gw0uztgb+LZxsWuHCt/7EbZ+zMeFTenVTl+/n794irofwXw6TvdkUf2ar4gL9Be74MtjEXatOaSrBas3y2d97ZT+XO1k7+6X5OPul+UGfPfPLZox992/sOmr+dEPruc97ZSH6Pj9X172k0cV993fmZf++OR8Pf79e9jutKukRMMv87h6V1d7Ac7tBMecG9LzzZRrKCClLdh3Dk9M3qV4jjZ8kt8E2yjUfLPVl2vA/ktA3Pv5rD65+f2nNhTJ9Jl60kVm1txCP/bjRVB2kfuJbJZY+RlMGa1EleVYlbv1sZdDfeSdKcMV7f+M/v2/H7E2HcfX7SxXnOL2sEcXFAID/+3ylwpW+TfblItnETljHXwlpe5kXXJ9RYG8xN3xUY0Yf6PsArvlwWVC9WPS3p38OHc/frz4QKJMFwnsxkwY5+D7a3wklaOgvUFRWaZtbpdHsOrzW667Z9ZTLdIHNgNSVWRyXZWOeb14R71N+WJ2HcR8sxQ+r85jVwfIhmf/3Ez5VniPDGVJgOASLOcGpjYAWan7fYtRcQ8QCWazNIca1TINd2uw+GNXN7hAFVk1f7VzwhJSFKYnWQggJghRLFxIhjd4Jg9YkvJAbunJPcn6nxjKf2geLuVTYLCfFxQTmLKsxZbhaYPC7tamy8k8ZcxXUYwUk575pFWGMSV0Nd0nc2OSGde2k4DmDxcmyF17mqRalCK44ZjflO/JPB4IlW0pDidCT8NV7TwT9LR4zxx3MACdU08wGP0HGZU36e7nbNbCQplUJ8UGTXJpWlqICrzSwYlgpXNQUDuK4YgAQF6M+DxWXVzliDeFkLKp+LTMUv3OjjC2eY4V/i/cpwrzGMggpG/uLyIUUGA4h3pBsO3zalK+unYO8oKgcf4kCd6qhV5hS25SJvxJOzSqqqrHziDWfcj2YdSGxm9xjRSitqLJcG7klzGzfMrsRtGqRZPbnUvckcf9Scl0SNqd2+hsbzSTMSi4xOzcJyL0XuXctZ6lhJ9Ve37x15LTSpliPSbfvufYXlgTa32oMBp5zDcv1Q0mZIIwR1mtVQVE5jhhUeOjB6/WitKIKuw1YMAk++1LXTLkuHZK5gZWPs8zmlmWTC6b9v5nMInP0TBkK/HEAhDVif0ExTpvIUiK065FTpTh+pizIjNt3f1NVZI4wp9V4E+ivmNln0DuL7j1exMzH3+m5e6vfPH5H/umQvqDGsj3qrkXisVpd7Q1RvMk9dmlFFfYcK4LEg0RzPdYTJJoF0sCjh0+WaLrOlnOqm9pdpcGr80+VBuYPXhQUlQfi9cmNP3E/F74Wy4BCvC898bL0IsyVVdVeTZeWaIQUGC5g5OuL8L9Fuw3/zs51use//8C1fpNBLZ7/bavid+I6N6lXS/E6afq1nUfO4JlfNmPYq4sUfqGPUH/ZUDQVGF7xv52Tlt6evxN3fbmaTzYMswoMk+XJxVYxQqsGtU397o05O4L+FvevB75ZF/i3WAARcolr5hTXiZ4gtXp996WnwlZYs68QI19fhA8WG5+bpPUJ+kzmQ6eVgtVeL3o9Owd9ntPnGqPGm3Nr+lS0uJBouRTpUWob6QM9/v0HXpipvM6YpbC4Ag98uw7nvqLtAnm61Df+X5uzHQAwXWKaLWetUCCxCDjOUShn2fWK/S6Fv2/ON/X79QdO4q15OwHUzAlnvzQfF7/9l+F7Ca3a5/m56PnsnJBAweJ+5OToE6zPzFitTF2xP+Sz0DTfob/Tq0sY8vIC3PjxCsP1kqOSoZLSzCZ11OuL8f6iXRj+2iJM1jEnrNBQXAiI1+X/LtgZ8r1cU9/91Rqc858FAYWE3japrK62pa/2eyF4nv7P79sx6KV5qr8p4RTMUk1ufeWP7UF/931+Lnr8+w8u9RDo8e8/gtZuKeL3LRxMiAO5CgczLBV6wuHtq39sw4jXFhlOw3qi2DkLNDsgBYYNyJ/EBA/eDXknDN833GXjrDRlBUbDOolBfxcUlWO5zoVHjTIdQdNqNoHyE5Gbmn3xDn1WMXrwBv3b3FOa7ZNmLTAE14MOTeqa+v0slcCuUr9ygTp+15FEi+bpQhurBXoU0L0oBoLtWV9E9/tjz6zPM2/mrle55vRcxqT8IMWm779yWVgM3ZKrC4l9jX5KRx93ug8APoFUr6WhlmAvNwSlYz09xVwcnfaN6wT9LX2XrJXaUtcXK4irZiZotJENghXLvonntwcAjO2Rber3VmJgbNbhWiQ3fo1M+8sZBTdl6aaVZnI8LN3texY9AVuFtOlGWLs/9H3IrbGLdxwFUNPvAsFvNfpCmc502TwQFLFKsBz7Ytww3xtB/LqFDHR1k2r6q6DU0MrUZIQ8vwwmxN9QthCVp14t9nHa3AQpMGxA7oRVOnjNLHYsBdDyymrufrRS1IUs/RGflSgqqwwxjzOynygokm8PsVAk9winSysCprGHTpZwt9JgdfftorRhpjdeop8Vl1fq0gAfPlmqmlNdDaP94tBJc/6J4tRup/wLviB0FBSVY8b6Q6YzCugb+zUNK/cMJ4rLUVxeGdIXxKaYZvuhVu0KRWlDxeSfKpV1fZG1wHBcgaFeAeV4OF7Z9yFnYmqqXpZ+LU/AR9fGNj9kcnxbxuAzxnjY9UW5Tcny3OBApYdPlhoelyFzpZe/VZPZeVMOPfVSK8/InG9mzquq9ga5RImt38oqq0LkJPF6r14X/e1otg/mnyoLeeYTxeWmg3LrQbA08WqsUXowq/QR3GHsXkakrnPSwy+9CrSyymomcuIpnX3RCMEpm90R32FH/mnmz6lF0LzjDf1MsLaUys6lFVW60ujKITdXiuUtJfkjcK1LYqHxghQYNvCHjNkliywkszeZM+eU4+6vVqPXs3OY3U8PCbHKAe5YKDEHvzQfXZ/5PegzPfFAhYXkCYUI92J/Rbm32Pnp39H56d+xel8h+r8wD9+uOqC7zmYIcmmxcJ+py/cF/v2WiimdXs79z0J0e0bd7G/nkdPo98JcXPgWuyjjSvy54xj6vzAvyI9bbzfbIGOFIERM7/HvP3DXV6vR/olZpurVQGJtJIf4Hfd/YV5IBp9uz/yB899YHDA5FOr7z2/WBq75zmA/1CtQdf/3HyGm4HknStD3+bl4Q6YfOe0uIoeWnkGpn3zyVy76vzAP2w6fDrZgEvmuWoGH8nPgZHWTYR7cKcnwI0d6CvsMCkaJjfHosogCtOdacdR6gY15wUEKT5VWYpqMu4ASu46eQb8X5oZYh9WvHTqHsOo6f+08FlJvK+w6om51sWqvb90UEMZAhr9/tJNYn0gRP7fR2EGAz1y77/NzA4qiM6IT6ls/WxUiJwnrfUg9JMHAP/5rT2Cu0KKLTIYG6eZe7v0ePV0W4o7c7Zk/MOJ1bZcos8gpHfq/MA+Lth81fi+Tcp9ggaGnz7eon2yuEAk7j5xB3+fn4kBhjUWHcGDw7SrfmBYy/mk9F6uT8i4KfdEKQpMu3X08aFxavq/J+WnNvkIMf20R8+cUIxcDSdzP5WQYYb54cVawG9OV//sb3Vm5v3h98tZl/10CAPh0iU/+2BqhaVK1IAWGQ7CQLdappCE1ilnfViskxSt3P+l8b2Zdk/MvtjOjiSCorJYRZN3OIpOuKeKJ/bCOLAH7Coybc5pFiPgv3vxbGYdiixUrZKu4UglI98FyvpB7Raaxe/wZEX5dX6Os+WvnMVNBJfW4o2yTBJgSFvOF24+EXOvWGBhqKLXBkl2+cbL3ePCmjFlwRja3sf3eRhCm5MxU7XFgFKPPyNL8Vy9GXCP3K8yXau6YVmGRKUXM/kL1OV8aqFuYsi7ulgUAGNS6ftD3Ulc+8Ts3c1A0f6tv433Ub2mRIVKsmdqU+//7p39N1bPmje2p7bai9GhyLlD7C9idnPvKDi1c+tFGxv2GFd2bpTG9n1wA4xW5wTKf1qzSiEP2GNZsPcR2k2z2EHeHwTgQZjhQGDpe5JYGj8b3AJvU3TWpf31s9r+LJbt8Fn25x+yTo90EKTAcwqvjZKC0ogqVKlGVhQFjJPKyFnILk1aUYiOIfaHlpq8if5BN6WRQXlnNJGgi6/S1aiekwumr3OanpLyKXRYLi7eRq5/ZxcVuVwDBNNYLLyqrqnW5cbDsz0aQq1t1tVdXnY2exCtFwjYSVLLGf9c4aqnqhI/Ez61WrSIdgXetotXfS8qrZJU/ws88Hg+XgIxFZZW63r00arsWR06XKv5G/F601iA1issrdSmMhWYVW61ITd71WkVIMTpujFxtNb6JgDBW9KwJR+TcURE6fiqqvLJmy0J/OllcodvljfWcrtVXpTEuKqurfeNPoSJxkj4mvkxP0G4lqvyWltKA4mLUnkVa3SoL86kYO+ZDLcTP5vH41rFiyZiVPv8ZmblMOr9YbRunFOFyc5YRissrmVhly1FZVY2iskpL9Sspr4LROOs8+ml5ZXXIJC23RlZVe1XHrZjicn1rrFhOFq/7AlYyySi1VVGZ+jurqYfposMaUmA4RMhEK9MB2z8xSzXzR4v6KQCAy99dwq5eMmPwud+2MLv/4z9tDPz7mEQY+3HNAXR8aja2HT4dYpZ4zYfLZLWiRtGzSGinUdWHMCnGyoyyDk/OwqM/bNB5JxU8wKFTbE9XAPNCq9GfWV2z52+rORG7ecpKVTcOIUvA1yv343vObj1ySOt27Ew5Xpy1FT9JshfIIW0mrQVXGgQX8C22RoSkJ/0uVEpKD7W0XmX+mCGnZRZmoe56XG6+X+WbE3ZwTiGm1SzjPliKl2ZvC/2d/7/F5ZVBp7OsZNExb/+FL5bu1bxOGrVdiz7PzcXZL82X/U78Xto/MQu3frbS0L0FznpytiElrXCa9Mj369HhyZo6rD9wAl0n/Y45JqwEec5HM9abSymqRIcnZ+EfX69Vvebh79YrfBNc8Qe/XRfSJ46cLkXHp2bjvYW70fWZ3027vFlFTgkjRqrA+M/sbejw5Cx8uiRX9voilY3ZP0WZpPQiFC8EeJ6z5QhmKqSP7faMthm7sMkRXFHKzR44eXyWdx2fmo1vVu531IJKvI54ADwxfSN6PxfsWiPeMO8vKEanp2aHzGXtn5iF27/Qdi/TyxmNgJRmUdsg/rr+EB7/aWPQnGWU/y3ajSd+kndZtspdX61Gx6dmm66f1+ubm/7962bdv1m1twAdn5qNeVuV52wzGWe6TJod9PfBEyXo+NRsfPJXbtDnT0zfiAE63V3OenI2/rtgl+Z1FUHxxHz/FXeLUguBWDs+NRs7j5zGz+uCZcFnft2M5XsKVA+EpPWIJkiB4RB65Tq1XNXntW8IAFjHwERJQLowsUS66YqRnJzM3eIzN996+BQ3jaKedjeUr11HWaG+q74vvl6p3/dZrQJ5DBQ7rHAyrexCDfPezSITyBkKAqmd1K+doDsuhd5m7ZOTDgBo20jeT9yIT7gQnVzJ7USPaWTtxNAI5nK3U3q8uX4BiJW7jhJ62venNXmK352SCM4sTwJZxjoyg1hJyBPBlUI6JgRXyQUy7khaGJ2OrLy3lg1STP1OvD5IBVi96HnOI6fKLJVhF9K1/4fVweNO+4CB/RokF8cMQIjVgRzC48T7TzLi5U40dCIocudtOeLoWiuewz0eD76WieMidu3J9bvYyWX9mrOF3fymJyMKa9Fy0fajQfHDxFzcLdNXpo5C/959XPsiE1hdP8z0s9V7TwAA/tqp/EypycbjfoiDqQM1LnWzNgb3q6+W7TNkfaVHGZ0ocnmXa5EqMwF3ROzIP4MF20LXuJV7RQqM0KMsS2WGO6TAcAizi0/Qzzjs8ll5NcghfWS102BeCgw9wo2mgKSzjYR3LLWiVjuVNGoK7rt/tOpf5dHThk4Kf2KMWvNooSXAmTFTVepeeuJpxMu5ssgpMBx+HXraRa4dhPci/Yrl8/AyLXYbPJ7TTouwDJNBSK1O316vvi27sHE26xLEErX5TNoedvd+2fdh4h1J680i/pZbZgLpQZdsfADRZ0JsGU2LLIuDITFOOTC8AOs2VIsRFa2SmV0iqdD2dqyRXm+Nu35g3Rc9pxUXkppC5D8OxMCQfC/nyhJNkALDIaTzeMEZZXOqnIkzkDNxBgBg8Msis18Lg7bd4zMV6uW75+nSCubZM0JqK/WiEQ1CKznUVesg02Sf/rUn0MYniys0g08K4uK3K/ejzWPy7QjUnGCXSyY2tTW817MGoxV7gBTRKff7kgjk495fGug7diA82gGFQG0HT5QE2vrit//ksnHt9NTsEP9HqTae1amy1bbVa0ap1kziOqitYz+uyTOVb/5EcQVu/3xVyLP+vjlf8/nl3q8RYUOI4m6GzQdP6X4/Q/+zQPMauaY95p+3xa5xeu+nl0jVX0jfTXZacHaAyTODo7mbaYdfDFobWGlrp97TB4v34KPFezSvE+LiGE1ZzUM23nJI2SVMyWJRL1KLDRZI6/Tr+oO65xZhztUbcyRn4gw89uPGkM/FNZi16XBIJhqBxRoBuLXac8b6Q8bmdY8v5oraNYK17cET6n2vzGQqcoENeSeRM3EG9hxTz3TDEj3981QJe9eWNfsKkTNxhqEgwGawkh2Kx5z48Pc1bnSCQkyc6pgFcjLKoz9uwJi3/8K05ftw2+er/J/WjMrG9awFYr3jy9Wy8llFpVdxDj7mlx+j5ZBDCikwHEJ6ZsIqjZJetDYyRzX8VM2cNkkneulGPuh7bi4koQN96vIa88cjp0tl4wcAQP+WGUF/a5n/10rwnQZIo6SrTTZSU3RNvEATlYmTl1miEsKj7VAw+Rdnq2Dp+iSmvKo6JL6K9G+7UbJWqJMU6mIhB6v1qczEQp+aHG/a9Feu2vKLMfsFePketn1f7pQjzYbUn9EinIzu3CTo7w8X71a4kh9eeFG/trl3auUtmckOJEaPO6IQ7NJon+VxmLByr/5NV4icwNkOQXjerqJUptKh/9MaHXGLBAtM//KvFFjZbrSmkx9Wax9c6XE1FhcjWAZq9T0WgdoBYKNM2nOeaCn5khO1LUOMImSbkcv0xZJRnRqb/i3vsSoYNVldIqXvT85a6kBhCbYcOoVvFObawW0aWKuEQrlqriup/n1jggW3tHAmOp/aDfCzNrKEsDBp3duMUB3qvSV/D4+Hl/2F9kQXE+NRNMdqlu4/IfQG/UcT6aQUyRsS4Z0q+fna5e4ifYdmLA9YYjVjgVFBQOlqM9Uw013V6iubmSRyh4RloqVpYiRThhOucV6vfNwWfb81/6bsWBNiTJpb83gNalWQlietr11zRW1V5bL+SgibCyfmONl0pxq/0RNkVBzYWRrLrKbs0H9rdSVWkp9an2Ue203lnpFg2u/mZxDqlpzAXkGkr/yaf7MY3nIuwOLU3lprjFtco+2CFBgOweJU4cnpmyyZsE/4dEXIZ4IpoNZAKDSRinLxjmCz/es/Wo67vlyNVo/+BsAXzRnwmVrymjQPaZjPSlOyiZFW6dgZfaf6H/0ZbN7LLH0qfMKG3jnrVGkFcibO0HXCYhp/XZT8faXaa9MR2TU45z8LgvKzywntakEZzZIzcYZsv6hUCPCkt5ez6jJmTHTFTbfWH1BR/2/1CdB6Hu/o6bKA+9GLs7aqXnuyuAJP/6I/aroe5N5hhQ2KseV7CnDP1DUY8MJc7mUJ6LEIWH/gBNMyr/lAIeOWZOJtq+K2Z4avV9QE4NuWfxq5x+Xd37QwO0RLKqoMpTc2ixC4WJzNa9ZGn7uA0XHNi6Ony3DftLVBn53mlFlCiQ3+0/t1+2tO8b9bdQBX/u9vQ/fp+ewc5EycgV1Hfe4MWtlX9GBEKjpVWoEW//ot8Hf3Z37Hw99pZ2XRckEBgC5P12RfOaEgC4pl2i3+ANqbD/r+O+jFebjrq9DsI/sKzI09KayPwFRTr6sMXa/Xi1umrMTdX61hWp+ciTNgVyibjyXyqx6eneHLXKg2rX32t3Z2LUCfm66d+3aJ95Rh1CwLldKFK+2HhL3EyZIKHD9Thhb/+s1Wl3GnIQWGQ0gVFk4ozuZtDTU9EwRXHvURu2oIzNhwKGRDnxAbw80CQ860UDw3qJ36CZOIUNu0ZHOmxqwDpepVfu3zC+Yf6PCXNl8XH7LBGxEa7ZnVKatcf90gclGpK+Oi9QEnE3W59KJKFhh6FXVGNetK15uxBBH3ry91pPQElINOmcULb0AIBoB3NdKe7TrGPmuJnBVPUrw9S+gv6w7ioMHYBVao0BFR3Up8El0oDA3WSs+35+8M/Hu+zJqoF7N9veBMuS3rvzSmCAA8/bNPyfebSlYmHocJSvPTNoW4DkG/1fj+7Db1TdQoFGncJHGsASvvy0prGil2v0QZUFhcgW9WHrDtlFZcjOBuKIzdA4UlzNMQ86SeWsYMj/p7YZllRUyFTRoMI9k87IbV1CS9j5pcGuTpbqL811RSnsvFblErQ7DYiI3xKMbEiWRIgeEQPLN9mEGwPBA2ODyqp3fhrPYqB62xipb5rJqfqjQXs9kqWvV3NotQb3e5y/FrC/G7ljspr6r2cile7vRHyW1Cbz8Pdb8yhynXL9FPjEbSl7W2kLPK0DSNNFRskNklK1JllGDJJt0N3I6e9uZtWRyS2YVTOeLo8ZaCeJr8ncfD1ipPCbmhK8wHaq/STgNyFpk67Ign5jLxTRalvmxX3cXl8JiPzRIO744wBut3qtZdlcrSu7+xUlfpb4U4e15Etmu6Eq7aykQTAyfPc7oKQQiKi51HfCeXPMaCXhltya7j3ISmSb9sxoli5cwPqhYY/v8WFJUjZ+IMrNxbqFqWYEYn5XhRqCnple/9jUm/bFK9nxJ635VgpszTt7wmrVPNZ2oKm9u/CDUjZYW42B1HQk/keU34ss0rp8CAAWWWzstqsgjJn5ro3SiJzRB/31xzgqS36wjXyZkEewH8sTk/5DMpgmsZ4HuuQydLZK4KZtPBkzj3PwuYmGtLyT1ejM/+zmV+XzfS/olZit+t2uuLfq9lBaMHtf5v155HnHZZbk7ImTgjxP1RFpnfVlRVa5r0Ltl1XHc2IivIxfawOk52ysyrehC7dy3ZdQw5E2egsKhcV6DLyTO3Yq7KqbYRi5Gf1x3EWU/OMhXcmCXztuaj9aO/qZ52l1VWa7rOidG7vH24eDcGTp4XyBDGipMiOUtvsGpWPCLKVMEC6XoVhEP7xuJyX599Z/4unCqtQJvHftP4hf1obeqt9jc5t65vVmgHNGaFkqtSzsQZuPzdJbLfqTWJXHsdOV0W+LxIMj+IS5f+VI81W7hDCgyX4Bbd2fS1vrgAPKIH690wfrfqANfAQZsOnlL8Tk9wsTX71RUX8vetufEqGcXH8twCfPJXruH7Avr7TrWCAoNlU9f0m5qb8opzoVkXUZvLCbx2GsLIjSev16s7uGjI2FE6XfN/rhTUSodngCpKwVmlCJslOasFAHjmV21lnVTZskBH6tsvl+3D7mNFzOMzCDw53ZySMZIwq2iVw2pwWxacEPkdK9XmwW99sQPUBHK5b04p+DRLWaejv1o1/ZemqdWL2vpgNE2tHIIibEPeSdUYVGJen7ND8Tsj7fTcjM0oLq9CYZGxmF6s3TBe/WM7Kqu92H1UXSG010B8FiUZTlr1Z2dsQd6JEizczia1uIA4COqYbpkAgH4t05mWoYSaIsjOg2qecqw4xtfGvJOyqWwjHbl3KU1pbga9b00tiKfWAadeEuNiArJQUpxysFKpjPitjsxU4Q4pMFyCW6x/KjnGwDAiqzplcKimuLHi1y/+jVNCeyCtm0f6ubX7NhClnXVLPwagGRiPmwWGzGdyRVV79acj1ltVIWWvktxk9ZmlKYHN4PUCpRXVIZ/p+Z3ea+yaP9xjGM0XsaUEy2Gjni3A4/+vfD1YUVe00VJ6NqFY9dMzmc901kHPY3GdW9VMplXKZeHyIVasx0lT0SjVidEBixPrlVyfZx0zSO1evFNbypUvbOQTVTZgdsH8+R1aBJLiRW3pIrlLjBfslX2y5QR1NuO/l1pSqCqexCmEbXj3HtQcSCnJb16vN2S8u8hrixukwIhybvxkeZBp9smSCpz7ygJZKwGrOJXix4iZmloVAzmnTdRBPPHoPWXSi952FQwhVu87wS1SsRCxWjx55h4PDUxkByXlNWbBeSdC3Q92H7WvXnJvaN7WI7oDM0p//90qc5lkrGY7iNNhgZF3ogQXvvUnAOC4jGn8uf9ZgKMS03U9tZq1STto5NTl+3Tfj9CP2IpKKUCvGdS6Y0lFVYirJQ/lb3BGLfn7CxZFSqXvOnomkL3CDHoUM1afXK/y8vU525EzcQZmbzqMNfsK8cyvytl8WCxlwulieVUVTpfqs4RQexSlSP4A8OWyvYHsawu3Hw240Agn9le/ry/TCOteKGRH21/IJgsHoFzH+0VZXjYdrOmz//phA7OypeXfLJPxzilYi6G7jxY5ogirlVCzFrvAkC2AeO/g9dqnJBSy7JUzyAwmF0xTYJ0oOPyx0zXyzbwt+gJAm1GgzfHfW/pLsaKFYmAQDuJM51uw7Si+F22GVu8txO6jRXhRJmK5VYyML55p5dRurTYJBLKQmKibeIHp1jTN8O/VMOpCIsWqplacNvRDQYEh+n7KEn2ZK1izS6Sg0EqfyxK5Tb5V5Z3098tzCxSuVMfqCXa8jh3L1xo+qKdNRDU32nx2reU8TYTdhNhc+dIe2baVK1U88nZHU+o3Y3tk+b+Xv+BDi5md9Ai1VueQEpUUyuITSME9496pazRjLrDo/4Ivv8fjwZJdx3X9Rq0p/tqpnAb0sR83BrKvTRTFSVjt33Qt3W1uXrVKqj/LxU9rrLvkCCit9zM31iiC35q7U/YaFoiLd9MG20VVsUTX7NTAv920eX3+t+DYb3bUzAtgmQNjVyyH6TlgsYp0DfAEPnfXGLMLUmC4FKesFQTFAQ+53Mgkq9fXnjV6qmhmEyh+dqf2PLwWuSZ1k0I+Ewu2VVYDL5jELlNZuZK1PzEGq8XJarYDXuNSMwtJxIid4Yn49ehRYum+r8H3KpdNiCVKc2RygroFhlXsWO7lgngKyK1JeqrEYi0TsoZ4oN+iQ20tMxWk2mE9ZE3x7DqC03tat87ZTsnWPHGTAkOMF96IbG9bEc1nam4i0djOpMBwCXMk5kd29kWxydUJvzntKYUsBlZQO13ZJwlOxVOeuO6jZfhiaY1VgPQUSWkiCKRRNVHmH5vzMXdLPh79cUPQu82ZOAObVYKK6kFvX5G6TORMnIHvVx1QjKSsF7lTuGMiFwHh0PS/C/id9twzdU3oh6J2Ye22o5cf1xxAzsQZQf3NHPpespalyUSLZsJ6XEh4tLRSH5+7JR+P/Rj6TDyF5yd+2oiciTPQ+anZTIIYmuWd+Tvx+d+5qLAhSG6V14tf1h1EzsQZ+Pgva9YGYh78Vn+2AK8XuoPe8kKpHwquS2b55zfrtMu2VII6cv2YhSm2ETweD96cp2+NOFConJFIj/4i91hR0Fz5wm/yGcOU0BNQ2AhCliypHGiWyqpqjFXIgmAbMh32dGkFvl5hbawY5XRpBW76ZDl2HeWXYU8JnlKH+DmUHmnmhkMca+BjypJcxe++WLovyOWCF0dOlSFXxe1DCyvuf2pI9zWAev/TsmhTOn+aufFQkBLrVGkFPpBYBT79c+QFICcFhkuxU6Nq1hydJf9bZD0lnxGUIhVXe70hAQYFhJMdM6fY90xdg5unrMRXy/aFbK4e/l5beFVHX30+WLw75LMHvl3HZbP3yZKayVPoyy/N2sa8HDXE7+mWs1vKXsNjlImH7j++9r1btaj5Ru+phmAhoaSUUvPt1IOedHhmDkC1ni9NIdjpzVNW4stloQIxz+nzc78yyowrDEtenr0NT0zfZDqVpREyUhICSsLt+ezKM6oAKlVxg2CBUr+pUV47d8rFs0+rKQTUYFEnM4F31bJM6HFreU6isAiOgxL+WJ3nWSDXNVbvO4FHvmcba0OLhduPYv62o3hn/k5/vSLjpDroORQe6Y4v+aWpF3hKY2N8lw11qF8nkaliXS8XdG6s+v3kWcYUo3IEpUpVeNGzN+UHKTemrw1dV+VS2oc7pMBwKXZOsW5Iv+T0yZqAqnZU+K9Fu1nWgqje+/Eyv5ZrjpggFxJn+pe4VKW0ouGC0RbkJaSxyDpgCuenqKjGLdapvNcJranKyVgsbtx4JTB0KWPlWqlninJLf45keGQMMoPwrsv8B1OR8u6DLTDc+1C84xYBPtncCTmzTqJ8mngBo9bNWm4g0kcMUm5oPH4kRusiBYaLEAdKs9MCo9KGCUbWxF+E2awKrPnP79tkM1YAolM4ywEZg/+WZmTghZLixboLSfDfj/64AVsPnw78/fO6g5r57XmgFrQucE05+xPdx3/ayHxM6Z0PhCwNt3+xGue/sZhpHQB9Coz3Fhq3ptISwNQyCwC+MfmEyKpqv8kT5XBBLKxJg6axQpypyC4rPbnsSOL5paySswWGCzcC09fmocW/ZqCwyLyVAC//6JV7rfeLP/1BN6//aLnlewGhKZrlmLMlP+SzFTb1cXF/PlBYzC0jmB54Bh70wmcx1emp2dzKUOOF37bgdGlFILvKjA2HUFFVHTEKDPGaWF4Z/FDTlu/DrI38g0rqoUAmExkPjtgkR4vRUrrKZRUyqoQXl3FQtDd55fdt2ChyPw/K4CTTye2a3+xEU4ExYcIENGzYEJ06dQp8VlBQgOHDh6NNmzYYPnw4Cgt9EZy//PJLdOnSBZ07d8aAAQOwbl2NafysWbPQrl07tG7dGpMnT+bwKOHPoyL/dDsnWbEFRlqyukbRLE76ihvh1/XKPoOsMg5IheT8U9YmXj1dxev14pq+zSyVo4RUAfLVsn0hSplbP1vJpWw1YlWCHwkcPsU+O8nWw6fxl85o+nrROx9sOeRb0MorqwP/ZknTtGTNa/RsIKRoPZ+WBU1JRVXAtQMIn/nGLOsOnAj8e/EO5awLrPi/z1dxL0MP9WsnOlKuONq73dw3bS28XmhmBFFj9zE+qR5nbwpVBIQrV7ynL4UqSwa9OJ/Lfd2wR/d6gb93Hw9y9zmvfUPbyv/fot14YebWoPKnLd/nirZhQe0gd87gp5r4wwbc/oU75myWVlpKOBUYX6vc9Qzif4jl68mi7JBvzdsZ5D6aFF8jI5XLWNXziGvoNJo968Ybb8SsWbOCPps8eTLOO+887NixA+edd15AIdGiRQssXLgQGzZswBNPPIHbbrsNAFBVVYW77roLM2fOxObNmzF16lRs3qycWzxaEZ+y2ikoVYqyRLjE6s/WCUlvUayEWCdcSLxe9Sj0VtDzrpww7xMHoXPjyaoR3FJ7t2bQqXTLxGUTsU69CIfh/pYVY2D4U2g7OBKtzKFer3vmECI68MIb4kZSW0cMJZaEWEJ6PPZma7BpmnazVUm4y152YuWQVPzThLjocK7QfMrBgwcjPT096LPp06dj/PjxAIDx48fjp59+AgAMGDAAaWlpAIB+/frhwAGfW8Dy5cvRunVrtGzZEgkJCbj66qsxffp0ls8REazZfwI5E2fgiveW4JuV+0O+/+zvXC7lii0wtEy1CevuPRe+9Sejmvg4Var9zrwAjpyWtzb4eV0e0/rIwcPSQQshO4PX68VDBrIdsKCqupppwMEd+ae1L7IBXoKS1n219m6802u6jX9ZzCYTTjz2o881aPfRM4azRRjlhzXyc2GN+yDX4gOUVlQhZ+IMtHnst8BnP1uwKvJ6tdMZvjBzC/cgqYTPZfR0aQVemMm3LzuN1wss2h6crUUuuCBPvlkZ7JrsgXsO6VjyvkyAdjsR5o2dR85g1d7CoO/saO9IUedbeY77pq1lVY2wwZSaJj8/H02aNAEANG7cGPn5oWaEH330Ec4//3wAQF5eHpo2bRr4Ljs7G3l58oLC+++/j169eqFXr144epRtqiq3I6QwXZFbKBvZ98npfNLgdMysy+W+Zjm7TX2nq6CK29Y/PT7w1V4v3pkvH5vg2BlrPop6Jt20ZPksEjw5t4PPXDX/VJmueBgs8XqBT1XSixnlLZ3pBXnD6zRF675ap8/zGac1dDubObgHuZ1lewpUXfwiiQf8aVVZBdj2AhjXx+dCmK6Q0ed/C3fjk79ymZRHKPPewt145fft+N9CfptON5zIe71eTPnbavpwtmzPPw33SXDmEL/jNftOOFYPAIEMIJf996+Q7+yM52c/bFUnMTIWGOKPbhyQw7S8cMeynYnH4wkxe5k/fz4++ugjvPjii4bvd9ttt2HlypVYuXIlGjRoYLV6hA7EvlMCTmZtyMlIsbU83VZbNp/C6UVPzAGeddZj9uZEmwkuM04toG7rJ0xw6Jm03iHv4I4EAdjX/VkrXKu93kD8kIZ1lOOIiN3uGtV1Jt6IUZITYpESRlmmCorKA/MVL7dON+DG5c/rtXld5liWm9q30q9olUtvbEd7s4pP53baNqrjdBVchSkFRqNGjXDokO8k5NChQ2jYsCYwz/r163HLLbdg+vTpyMjIAABkZWVh//4al4gDBw4gKyvLSr0JhshNMMUcsjPoRRyMzw42HdR3mikE03GbT58en06eddazdDjhQlLt9eJkSQVu+mSFA2UDx87YHxWbN1q9yKwJurYLifoFBRatiMSIA2O5jTFvs3U/i3Y26577fRj1nzcz7/6y7iCW7GIbmFVcbTVrJnEk+3CJs1JcXoUiB+UVo5wsqcDU5T55WG7Dx4IdR5x3ObQru5oRFm4/qulyGy7xA35c7Y7MfQDw6h/bsSK3ICLdc9RgPUUWV4TOB+IiNh7UFxT02V+jI8akqZE6ZswYTJkyBQAwZcoUXHzxxQCAffv24bLLLsPnn3+Otm3bBq7v3bs3duzYgT179qC8vBzTpk3DmDFjGFTfnUy+rLPTVQh79hWEph9yC+F4su71AiPOasTn5i6VcyurvPj0r1xscyB+hNfrxUd/7rG9XN5oKRLemrfD1H21hlS1hpHRK39sD/q7dcPaqte3bGCvlRcr1h84iX3H3Ts3hhsXvKkz1XAgiCd/7pm6xlQmHzWqvd6AMkVtDMeLNm8HT9qvdCbYcPdX6mnr7aCOzQE79bCvoBi1EtTr1at5GrsCOcpGqx12G5HiRBYfAQ+AwW3tt9hn/Xr3F6inf/9q2T5d9zGaqjVc0VRgjBs3Dv3798e2bduQnZ2Njz76CBMnTsQff/yBNm3aYM6cOZg4cSIA4JlnnsHx48dx5513olu3bujVqxcAIC4uDm+//TZGjhyJDh064Morr0THjh35PpmDXN2HT7pKXrjNogDQ3rA4ia1RrHWgx0XC6wX6tEjXvM4MLtVfoNrrxdEzzgjh7uoh7NDqakIcH9ZUGRxzXbLqqX6vZkbvdsLkYDyicDKNKgvE9VZ7hhjqWwQj5Pz5wwGlGDGmCNP5IhzpzVLxpBM7uniYDiNb0FSRTp06VfbzuXPnhnz24Ycf4sMPP5S9/oILLsAFF1xgsHqEHeQVqmv9HMGFg9buSPR60VOfdQdOYNqK0Mw2LHCr/+GxM+UBU127+XvXcUfK5Y1WYNIvdZ4QhKDRh42b7qvjceMEo5NY2mXazvI9BbiuX/Ow3ZCIff93HytSvO6nNcFZIlbmFipcSRDhiTS1q5T4WHYuJHO3HmF2L0IZjwfY7pDr57bDp1FQxM6FVYpb5Ws3EB7OXgRXlu0pcLoKIbhxyAqpGt0mw+qpz9XvL2Xi299GwzTfTXyxdK9m9gpesMxA4ibmqQhkm3T6Z8qhnYXE9K1lCWeZgFJd24+QwtSN1opi4mPlO7beeuedCD7MqIw2p3aCGW476BHQslhVGkNmoLnaPn6xkGbaLB54MPL1RRj3wVLbyyZIgUG4FDeaHwr+wW5LC2WnS8u02/qFfOa+N+XjdCmfAGmEPGcstLfVIJ5GcWp+aRDGriuEezdlAlMm9FH8zuVVJwhb0NLJuVH2JAgiFFJgEK5EehLkJgo5mouZYddRZZNg1sgt7k5mrFGD5BB7sWLtclQjY8uJ4tAx99dO5UwNP67JU71fOPcNlieEhDGM9vBNefqynLAinF2jCMIOjpxWj4vltgMqQpsVDrm67bUh2cD6Aye4lxGukAKDcCVuzEJS6bdjn/K3vWle3URyYmzIZ25VNpVHSSRmt2A00KYYrYj1cTJ+ydd+uMx0eeHMjnz3pnmNdIxau930qf0pnJVwW/BpgnCCl2ZtU/3+m5XuSU9KuJtF249yL2P2pnzuZYQrpMAgCJ2w9sMPF4S4F3ed0wqJcaEKDLeSGE/Tm51YcZfXCpzGMrAaEN6BsQpkrFEIe3C7CiCMuzURYbg9XgxBEOENSfhE1FJaUYVVe/UHMI3WBVlwG4kNM+mYDhztxYrp7RqNnPab8swHCJXDqZ7Mok+WuNRlK9LZX1CM5S4MeC1GqV8v3X2c5kOCIAgiYtBMo0oQkcrTP28ylFo0WgXAmDBN2xit78sptNLTWeEHjZgWRimpCF8lwLMztjhdhajk7JfmO10FTZQsi57/bSt6Nk+zuTZENBOu629ORjJyj7vPhZkgiGDIAoOIWjYdtDfAWrgSEInDzAKDsJdwyrhYGa3+YETUknvMvmDPBDv6tUx3ugqmCKf1QMywDo2crgLBiYu7ZTpdBYIhpMAgohajLiHRGgRN0FuEm/riVCnlYLcTit5OEM6ipmMuKqe00uFIuGaWCVd5ic5pIpfYMLUmJuQhBQYRtRhdXxvUSeRTkTAh3Bb206UksNtJOAms9WrFO1JuuI0hIrxQ616lFWR1RNhH+KwGwYRzgGeCiCZIgUFELUb2W9PvGhiVCox7z20daKdwPQki7CGcvDJSkxMcKVdpzvni5r72VoSISGjvFXmovdP0FGfmMT2Ek0JbDI0hgggPSIFBRC3b80/rvjbNoQ2P09StFY+TJT5XDFrYCTWqwkhgdVtXTktxxiKEiDTc1rOJaGX9AbaZo+wihgSdiCWaD+EisVuTAoOIWioNRJmqkxQXtlG1rZJ3ogQAUBFOR+yE7QiKLkKZNg1ry35uRLBqUi+JVXUIDTpl1XW6CkSU07dFhtNVMMXuMA0a2zGTxnykYjTuXSQRifsXUmAQhAavXdUVaSkJUTz1+aioivYWINRISYhV/K5ZerKNNdGBQ6cRA1tb34xc2aspAOC89g0t34tQZ9KYjk5XwRCReMoW7dxzbmunqxBVDD+LspAQRDhACgyC0KBlfd+paSRqMAkiGnGbKamRjWexP5vEpT2yONWGEIiLCS8RyV29mmBBDGVOsBW3rQ2EOW4Z1CLks2h+twmx4bWW6SHynoggGCNsLpbsOuZsRRxAHJGbTvcINdQ8snrlpNlXER2Ec1/+YPEeAOrtTbDBzUES5aAMCgRhDRpCkUFpZZXTVXAXEdivSYFBEBoIWtsVuQVM7zumaybT+/EgAue8qISF64KAUgwGtajzz1/aGdf2bRb0Wdfseszq5BYmDAw99dGDGaGZDmb58us9g9A0PRlnNamL2olxTleHIEII10wf0YbcmvnDnQMcqImPIW0bOFa2XaQozNkz7h1kc03cQSSKC6TAIAidsJYVLu+ZzfaGnInECTBaqBWvHJ/CKD2by1tTqA2PpPhYtG8SHBwto3bkpSVu11g+SKeA0gm5GdPWaDaHtYNOWT4FW8fMuogNE21ReNSSYAVZ3LCHR4vWqxWaZapHM+esEutH4NorJVHBZcJ18bhsIhKz69CxAkFowGvcF5e738QtAue8qITlCbKS0Pzwd+sN3ScSs2nYqVQIN/eGcOXbVQecroJuKqspU1Q0QRYY7IkGpVCySsDtiEHpsCAK3q8cYaKDNwRZYHCie7NUp6tAMIa1qJAYT8OP8PGPYW253r9FfXXLACOwWgdHdWrM6E7hjxmZqiOl+CQkJMbp35goWVIRBMEWt22a9Vgh/OigiwsLnGrxGwfkOFRy9EE7KE60ZLhhICITD4D4WHctbFLcXbvIoH3jOkjirMxiKT+Z1uRLTguddIHQU7LR50xLjrd1wNDYJKQYGeekwCCIUHjMq26bq6t1WO50d9DFhQVKcyHvd9GvJbt4YyxxmxKNBaTA4EQE9pWoRXiX0W6tWVpB5snhSuO67Nw1zC6E0uHj9jnSaNyDwuIK08KRmd9Fok8rYQ0jSkHqPuFPJG5KnIZHk24+dIr9TS0QDRmslObCaB0ykfjYpMAgHGHJxHPx8Kh2TldDF8JEGI3+pmIBqaSCTcyOfi3Tce+5rZncK1Lg3bPGdGOX8cboQvjJjb2Zla0Fy1Nlt+dNj1ZBTMoXN/d1ugqu4vOb++i6joLAhj/hIpNc1j3L6So4jpvkXT0WGOGOsgVGdM57tSIw7om7JTQiYklPScBFXexLIxqtkYdZkpocGknbDB54MKYbCTQCdpyixbPcjBusbmd/ulQ7ZKapt/Zjdi8zmSfMvktzaVSjUxCTMqhNfaer4Bo8HqB3TrruawnCDi7vFT4Z13itxyytIAltlN5itM574ZJJywikwODExryTTlfB1dg9iVgpj1ddvQAqqtytCef17BE4l5rGjqZg2d5GTzAUBQnrVTGNnswScSaUPsfOlJmpDiLTwJOwG49H/5xNc3D4U1hc4XQVdBEFB/5hRXU0+JAQQSTERd52P/KeyCVsPXza6SpEBQ+N1GeWZ0VWEwRCHmZ3btcGi6vH6vG98Bo+5ciglJGWYHmqZPRW4eqnbcbC4e9dxznURJ5otsB4aWwXp6vgSgzFwCClmS0MbO3OoH7RxmMXdHC0fDcpcarcVBlOKLqQMJj2nrjwLOs3sZk6SXFOV4E5pMAgHMEDD5OJJMVGv67In/Ltg0Tn8MXoya1wvR3+2q7ItmICM/WOYv0FruzdlPk92zQM/8xhHo9+xYTQvzs0oXS8PPn3xZ2croLjuGGquphhHCgzuEl+jGYLDBaK234t9bnpEXwhBQYRFVg5BRYmvFrxbJUl8TExrtLKy8Jhl5SZWiuqT4+luL0LSNlXUGzoekWBweVdwEwXtfNdurz5wo5ImJKMPIKwJoZLIMhwJVwt0Fjihv1yJMYAMEu5y12XecJiOJL1mjsgBQbhCD5f3eBJYExX4xpyvcKBlelGcB256xx2mTMeGtkOA1pFn2lpdlotPDyyfURsFlgRbk2xdHeBsR8IFhjsq+I6zG4GzfQBMzE6opU+OgJbRoJQamRepTnY/fx890Cnq8CEKq/X8VPr1GR2bqisApo7RaSO/c5Z9QL/VtobROijRyUkAbkct6fyM4sHoRPJgyOMp5my8/SIpQXGXee0RkwYnAiwruGfj5yLxvUoGrcYj8dd/rF6GNK2QeDfWoKpIEeIn7F2YhzzDeOb47ozvaPhYKXuH85ccbMrQnIiW+s5975r/a6ZZAVnLzkZxjOhtW1Uh0NN7Cc+xhN0AHTzoBa214Flb7+ub3OGd7OfSHUh0XIDlDs4ZU9ktq0biczdMREEa9cHXnCdV0hWcxXhoLwhlCmtqAr8+1RJpeq14fqmTbmQaMgucQr9nszM+RIXw1bUcevm30ig6dOlvgwWh06W8qoOIYK2Nc7Ccsi6dPjrJ9zrr4A4XfyRU6HzmtcbsY+uCes10A1E3hNFGOVV1Zbv8cs97jND9HjYBPG0w4WkuLzSX5aFmzjI/w1uafq3vJ7Z6G3tEv7euLqbTSXVwLtfPTC8LfN7ilNy1a2lHt3ars2e12s8u40aHujPciRcr8X4ATmmf3tu+4a660IEwzqAn1uXgv0Fxbrr9sPqPADAyZLwSMUZrri1r9iJF2ysDHs1T9N13U0Dc0I+c1pJ7ESsmQeGt8WNMmvOee0b2V4XO+iUXeNC8s1K+VTpPLvBr/cM4ndzi7xzbQ+nq8AcUmC4HBYuJM3SUxjUhD3h4nMc7prLf13QwXVpSN2qDBpxVmPby+Q9DprXZzv+Y3S4vJzdpn7g3wEXEtH3PmUD02pxgWXcGwBIsmAN10UknPHEqK/6hIH2m4MbJUWHC0kkxI8w9gwufQgiQKS+IrOPlaNzLXvqoo4mS9CHmfo7YYFzz3lt8PSY0LaIVAPYBrUTA/+Ws0Zj5UKidIumacbcxJqm17JcF71kpdpXll2E986MCFvkxj/PxTrahbXjReVOVyEItyqvnOomXo7iDeuTH4/HE1RfuXcpHm9y3xeVV4V85jbMzBlm36OeouwaM251j7BCeaV1S0Yxbp2/AP39NlI3MW7FzDTs5n5mFBarUKxb5ia31MMkkerOVCGyWHck64zBIiNpfDsBKTBczOU9s03/dlyfZgxrwh6fJjT4s8x6tfDgCPbm7oC1TVx8BARSrZ1YY+Z/bV/n+4bRtaWAgQLmjau7Ydpt/SzfJ9xgbSIufXUvXd5F9Ro7ZT0nxQFeStL/G9ISn9zY27Z2NKrAEE66WFZPbMHDgj93HtO85qxM+SCk53eSscqKALnTyLr2+OgOTMqUM2c3Ao/sD5mcg0o3S0/GNX2b4YMbenEtxyi8n1uMB0D/ljVZ18xatlHsLHO8e22PoDHcvWmqc5XhyC/rDmLRQ+cAAOb8cwiTe95zLlsrTDFW1/Qre2WrKmou6ZaJ16/qhmcu5muR5BThvzOLYIafZd5P7YXLOgf+7VZlsbhaF3XNREyMB3ef24ZLWVYOod3afkYQP8Jzl3ZWvE4NplYCBts03YILTO7k0cidPBoXd8tCv5bqqWudeNe8y6ybxFbol25wm6aHmk3KralSJWIEDKsgPDA/z6idxNx9TmucY2P8C2l/HN25CQCgcV35DY+gwGB5qve8yTlKiZJybQsMpdPdnjJ+927dRxk50YuP1X/tLWebj6MkRs6c3QgjGbv4nd+pMa7hrNCPifHg+Us7o11j4xlFeK4N1/azL5OGF8Fxk9JMrue8x534oEcNtw3/ZjJrsJjzOzcJGsNuT8Gt5Tq/9d+jZD+vlRCLZhnJyJ08GpmMXCYeMJAdUW28JsaxaXNxIPCXLu+KkR2V94nX9muOS7pn4Yb+OUzKdhvu7sVRjtfr5Wpa7iR2u3RUVFs3IY4ERYZRxBuyk8XsTvLdajrnRL34J/ViPIfoiIEhHt92uSRUVLF2lTH+G55x2uzqmWfKgrPKHDtTBkC5H7Fudx6UVRpzWdLa3Lt1/jICnWb7KHaxOxu9oWBKK9i6gpnF1JLGcZqMuEC8Jjt+ioYC6jDnjEt2jNfKaulBUPTOEqTAcDELtx91ugpcKRP5Jf9jmLzlRXMTudPl2F9QwuQ+RmlQJ1H7Ige4sEsTXNDZ2GnWtBX7mZVvVHZ+e1x3U+UYTSEcjkqqR0a1x13ntFL8nvWmWk8TPTKqfc31Mj9oVJf9uPAolGX6fna6vuiJgWFTfdbsOxH097I9BQCA/FM+RUY3iflxcoJvjJ0oZhdnh+WzPjiiLR4ffZah30y+LNQtSsx9CuuV43j0z62uiSeggt6sE1Zw82l0JMajMUqPZqmBf3+/Wj6zhBZ6ZR2p8pY3V/Yy7yYuJiVBn5zz8uVdcFWvpkzKBIARFqzEeXClxrPpcSUU0zuH3fwjN5RZjO4HVNzuHUh8YyvunbkJZp3PrUugOEpwywa1Za+53kYzRyWsvActU7j6tW3KDiLpBG9f00NX9gCtR5f1D9dTHYOC2YDW5nzi69Uy5j7h1Fix0sfuGNoKD41sr/g960VMj1DdumHNeBauFtejS3aqKSusjjJxCtr4y2It62udbOROHh18vVsnWsac067GnSUhNibQSmnJ7OYylhZ6F3fLQmMd/v7iIvu1Unc1a8k4s48a71yjP/1djMeju+0cCXInw+1DapSv4jGVO3k0vrtjQNC1ZrqF2hrgZZXfkxO855Q6SfpcJowi3VBbaeK3DfR/Jf57bU9d1+ltD6W14bELjMWKeenyroaut8oVvZriRZmYVWbhldpbq9srjQvWByP/vqSToeudSBagtHeKBkiB4WJiYzxhYZ5rFhfLDVEBi7nWvM+/PRh9Rkey1XAuk/Uw83i0za6Dg3jyfT7x7VmWlX/KuLnp6bIIM+WVQamJq6rZ9TQnttZGTHHdejJuRCfhFgWGkaY0s95oPWZUiyFh8PC2DjWO7RGp7uBOYJfbhFI56vOQ/G+0srURxiEFhgtQClDoViGJFfrMpjV8kXU2kRVTMJ6vwUklTplJf1Jxhpsq0QMkGAhS5Na+7czGyTyD2zYI/Ltvi3TZLD5y+dCtEOPxYO3+E0Gfic18geAxI7eB8MB4XALpfcX1AdiPpTITqTeNuiwJuHQ4GGJb/mlm93K6PcRpV+NkOvCBwmI7q6ObTpn1TP1uYOsMW9w15JC6slzduynTTFlqKXQ9HmvZ3oyiJ7uO2O2U9wbnxcu7ICcjGa9cYa8lgN3ozUI3eaw+6wSl13JBlya4f1gb3DQwJ+jzuBgP10DMTomRTszT9WrFy5bbNL0W6tdma4EhLUfIgqQkU7ltGbeSfTEcIAWGw8R4gNVPDJf9zmkhjjfC2JLGuchiFD1YTP3aiYFsFEaJ1DkgMd7c8BdnuBFPkNlpBt6bS/t2uI25BqIF++v/6y+bLYD1IiZuoku6ZQIAhrYLFs7Egrfwb/EJlBdAcoK8ua7UPP+sJjVuI2onL04PUw88rlXMscSOJ3RTYDK5TaQZ5ZZZvPDKuk7JUduAS4D4sb68pR/uOc+ZuB7SYKKTx3YxnSlL9v4qY9LrBZpn2OcO9ObVyrGcruvnU9rcyzFto5QLOjfBgofOwVjGShyWc7HVueDsNvV1KYIeGtkOo7s00VmnUF66vAuyUmvh/mFt8dRFwdl2GtdLQsM6/NLWRqqMKse957WRbf/FD59rKDW0HqTlJMX5DijiY2OCsn8IU5jH46wMyTJmRzhACgwXw2ocuNVMSdBiSgUMl1bX1ELq1mcB2Cx6Zq3G7WoXo9G5nRgrUmsG1pQzdkMT303YfJixRlf6jbS2cbFiZYjxcuwiMS7GdP3U+p3b5u8qG6RlJx65VGQRpKX0Y+gto4mR5jbSbG5REhmqs4kqxxpIF8sbPfWPxL1opLlPGO2HvBXbkda+Wti1JkqLEdo5xgNUuSMhThBumdPtghQYLsbj8RgOQmiVOklxuHFAji1lNannO7G/XxLR/dq+NYE73TAchUmsb8t05vc+XsQucr9RdC15moK8F9eYMPeVLuhGg1/pxc0p8nggJyj9tCaPaRniSO1CQMeGdY2dLnmgX6jT8tUXzM37awRetMol3TLRU8HMvnXD2vj3JZ2C5i5W6LWgefoiY5k2zCIeU49fyGfcOsH0tQcD/xYrKOTa/ywFi4iz29THw6PaMa+bXoxslC7q6jttVnJhtQs5Fx2W1E2yV4YyS6E/TTnLWDJuoaNJ1ybAujJzdGd9VhVGMKrDlT4Da7clpyww1DbMVtYjrXcu/bp/S15rf3BJ/xjmc9HNSqsluy544EGlwoERa53L3eeEWmqVuVGrwhFSYDiMtKtLXRxYm0RpseHpkbhzqC8qeLJGaqZxfaylY6qVEIvcyaNxcbesoM+7ZJtf7JTQmuCvUFlQhN8KChcjaE1aSm4XZn3pFesh8xkrC4wJIn9PvWljxfUZcVYj3Do41PUh5DcGFoD/Xms9cnk4IG0TuTYqZJjeUqBTlm8Dl+M3v9bTX8X9zQv9QQSVNmVCxPEezdOQO3k0c9czaUyA16/uju8lWREE5vxzCC7pnoVeJk04Wcg2F3bNZHAXbcTv7Yb+OarXCj7DVsrQQ58WrJXL6pNjukLGlc9v7os7h7J3AdA79xmZI7tkpwIAWjscxd5sGlO9GcribbTAuHlQCwA1Gx0pchu+N8d1R+7k0YE+5ZbgqqzInTyamZLMjLKrfRN97ldGxo7RlJjS7/7DOOaIUyovqfuXmBsHtjDlsg1oWxJI23/qbf1MlaNZD0k5F3bNRO7k0UhOiFN89loJ8vOZ3NVWRvpdMgqMVJsPvJ2GFBiuJ/K08UbQWlTc7vunNRE76TPPIjZCdbUX4mk4XqeAIX5s1kEmed0zHJBtfQ5NUe1X9AvvUU8/llZD6SfSfulR/DffsVNkwnrHbJ3Umk8wl3WLK4kdQ8sdT+pD7nHtfhV6+5WRPiJc6bT5udn9un6ljpt6kzaRsHTxeoZoXde1cKpZeAWJ1LTAsMuFROVv6YEM4I+BoZSFxKjWS6tucrcLcXmJbEiBwYkEnacKauN/cNv6tvraCtT1a/Hucyiol5hezdVP1sJMNglB6bTFDqGSRQk+gaLmTqdLK5UvFiGe5PWazEqj1avRumF45cY2KwiMkZy6yy2SrHtSbIwnJH6NnGCp5lpkxIWkZQNRkL2g4KC6fm4a8cmt9FkEt5XLumeZ3oCJKZBxJROCmSaqZPcZIHKbsWsqlM5NPGYquzed0iw6WkTCPkraxnIt3rBOIto1qsOkvCGijElijCjxL+2epX2RBOHud53TyvBvjXJ+p8YAgEE6so1I4dXl6ygEdpWuOSysPrWs4OrXTlDsB0qIm0VLVLBiFWxVId4rR1lWFcZap6y6zMZTMKENc5sOq1ar9OPkuuEWsT5kjgz6032LwFk6rY0iBVJgcKK7ToFIbtESTKM7NKnLRMOpNBn83xD5CS4p3ufa8X9DWiF38mhMPL+94r2v7MU3BVkzSYYSKawmOl7Cg7YmmU+5etDTtbQukW5cWzQIjuiutLkTP7feGJPStnpopLKvuZBOi5d/t6GMKxJqJ+rPFKDGI6PaB6VRBeTHA+tTqxb1UwJ9R3gncs/0/KWdVU1I9W5c0lISZN8jb+slwX0vd/JoPC/KipA7eXQgS8KrV3XD7hfMmcmKkVPi3THUN//KuRG+c43PReqrW9mbzuZozLlG5Daz78jwryx2cXFqaEByuiZz7/g4t4jY1lGbHh4c2Q4z7ztb132apSerpmJ96XL5FJVGukhfExumGI8HuZNH46GRoXIMiynk938MDvy7V046ciePVtxIyM3FvFMd6j2I2vLvUZbLatlAPaPLyseHY8qEPpbLUeKFy7qErDl2pJLMnTwaLeprZ7P59Z6zMVvUXwCgjeSwJXfyaLykM52rgNwjPsoprpjAiseGoWl6MjpnsXf5diu6lFxKMi/bqsjSpB6/TDduhBQYDiM38QifxXg8XC0w3BqxNshMXKOKetvHaTNZJRx1IWHQJr72r3kGvac4QQqManOBh9SaLrDBNnVna2VrIRv8ycQN5d6fXd2pJhq3r0A1X9jAbyTV1ZuFRDxP2TlazAi+Zttfbh6Q9glxfXjOZ1p3NlKy2fdldF50sj3CFaGJ1Z4vxuPRNbZ99/Ga6v+8rW30rBNWMHKPCh1rHesNtxPWQkzHo8z7szOuCW9YdH8n5ijhHReX67O6NYLanGCHQipQD+nfOg4k7eqZ8i4kkTMu9EAKDE7o7UdyGT+E06C6SfEBU2UeeDy+IGtagRedNJfVasZpK/YzKseZgS+WDcWnNq3sCKymxwJD4xpfDIyai6TRtW8c0EL2d3ExNVNPs3T1k4vL/GbDRt6RsLg6meXFCGYWZbmfiBewm/zBVW89m60p6aiOjXHTQN97FazFxO49l3STDybZT5TF54LOTRQXW7lAVMKV4ojyeubYWvGxpl3h7Jz2WATuYyW8uMI9wuOzQBSwwyWsjoJlVIVMZHc71wsvgMt6GHed0KJ5us/SRmm8AkBXAwG1r+qlbr6v1GJmNyR634DaGsBioy1nPaU0FGsnxoUoblftLfT9xnJN9NG2UXi5V4q5fYjPDejBEfoz/ci9YR7jSY0rNcaGVezc1NcU6vvPrqNFzG/tlm242pKanRZqqSi3LghuZbJYeG1yZQlZ0s5t78sOJwRZj1RIgcEJPfPJzufOx1MyqYbuH9YGO587H7USYvHQyHbY+dz5mvca2s6YXyHgmyRWPz4cy/51nuHf1tzBWfYdZz95ssQDoLFKiknxSeOv9wwKZM9gnVFBDnYxMHx4AFzRq2lQf31CIc2ieMOm1j4A8MwlnYxXzF8twZUkEtHarz51UUds/fcoXKczWr9eLu2RhXF9mmHLM6OQ6o+cLxbKX7hM3vy1e7M0bHlmFHY+dz4ukYkdccfQVtj53PlITgjdSArPOqZbJpLig5cttc3kmieHh6RpdiNyFgchwUxdcrrCQ1i+ZVCwotPjAWbcMwi7nr8AO587HyPOasS8TClXK/jPC/GsxIcNvF7F93f0D/nM6/XixgE5eHNcd6ZlNaybhJ3PnR+YH4RnEsdVaaPTX3/90yNko+K7gQYqawALRVScAWuA5IQ4bJoU7Kpx6GSp5TqoIVbSLHhwKIb7xxKPPS/vOeqBEW2x9d+j8H9DtOOZqGWze0UmCwjPqt+u4K4NyPdBJcVa/draLrH9WqZj1/MX6K+cSbiqTHS8Cz37IiV0WwpLKiLuI0ruUtIxIHXzFWOlDeX6a4cmdbHzufPx0fhe2Pnc+Wgc4S4lbJyxCVMopQ/zeDyBRVH8b9V7qZzgKU3MHo8+028n5WatBdEtQr0aak0srn9MjIebS4lscEcGK5A4foXwT3G/1vN+tE7BzLSIOCo0D6wIvqwWfj3vL4lxOl4xtcRplkXNEaOiFhf/RtrXYzxqKRU9gf83EszVyvPbeahl1ABD1vqGTVVMla2E3vk5VrLGeSBem4y7J1lFfLuAq4UNHSJWYfB4PB5TKSS1kBtvZtaguBiP9rtmXH29fcsNBkViaknS0wsWPrzchcXd1oiyxQzC3VkOFakLod45XejHWpaK4nvzgpWcqjQ2pY9oRypentOhntqbTb8M6G+fkDT1oppVG7C88v84BB5ritAuvMe6G9DsARMmTEDDhg3RqVPNKWhBQQGGDx+ONm3aYPjw4Sgs9JnAeb1e3HvvvWjdujW6dOmC1atXB34zZcoUtGnTBm3atMGUKVM4PAoRiWgNwT4t1LOUOM3xM+Wqi5fgcsHbrPNkSUXIZ5U6/HE/X7pX9XulYGXn+U3Y9MB6Drdj8XY7F3Zpon0RQ5qlawR+lEEqjGllHAIAePgrpwRYixZnq2QmcJMeVkmhKFiFGZlzT5WGzjtySCPzq0d/9yGeM9XelfDb9o2VrQlC443U/Fs4yRUHkCyvNBe3Rwu1qauSc0oyYQyfY2DuZkGiSSVjXYXsGkZQOx3Vi1xgTiPj+Yw/c1dphS9ts5n0zWoEK+NcNNFI0JNBwUj9R3T0WZpIAxsqnZz/tvGw7nvrQa/C0cgruairvLuXuAuWMO4/StRmMP6sInZLNYLZUSB+V2kKAeKN3HtoO/NzrXtHsn1oKjBuvPFGzJo1K+izyZMn47zzzsOOHTtw3nnnYfLkyQCAmTNnYseOHdixYwfef/993HHHHQB8Co9JkyZh2bJlWL58OSZNmhRQekQqrNeJzc+MZHtDsDCf5CRQiaql1Y7DNUyL/63T/YDXup6hYfI3YWAOFjw4FL/eoy/Su1lSk0PjCuhJX7rzyBnV78XZdsRN+N71PbHh6REAgLevUTd91t2LdL6jjU/XjBUzr1Wot2pVGPcXvUqcFY8NE/1G/kfrnx6B16/qpnqftU8O11s1Xcj5g2ohbUNdGyfRIyvNX3P+OcRwXVgjF1foM9Xo+8Y6lNyb57036dMiHWueGI4RHVV8eiXo3ei3b2w8/dsv9wzCpkn618Xpdw9UvF7tJKxnc99zXyCKv1JWyX6TsPLxYarK1ySVdLpGuUwmHWnzjBSseWI4Jvhj5xhBjyyhdI1ammA16iTVrGldm6YqXqf2boW0m5smjcS2Z0ehnkz8Hd6U+y0wkv2WGSkJ5hQ60kw6AtLHd2vw9h/vGiD7uXheU6r5skfPCxnbdwxphbVPDkemyB1306SRill1dmvIOmL0rNcbnjYvsyvd/9ELOmDdkzXyyeKHz/FfX/MDnlaXYoTMY0ZTUOvB4/FgYGvtjEOfTeirS14zXw/J36J/C+6zA1tn6AoaL/3u0u5ZGKMSf0i7bu4cx3aiuXIMHjwY6enBWq7p06dj/PjxAIDx48fjp59+Cnx+ww03wOPxoF+/fjhx4gQOHTqE2bNnY/jw4UhPT0daWhqGDx8eohSJNFifKsv5hVstT2//d0VQNwW0HqGBDp9Bnmi56Hg8HuTUT0GCRIhj3eRyZvcsThGDMyPUEB8bExAwEzRM/cya0Sn9rFZCrKU+KxaMeSCctJlBK+Au4Av+q2VeKSy+PNDb9kpjQ2oB4PEEz1Va969bi9HJkIVOJPdk4SJwqD220qmT5TJNzHiJcbFIMZCS2Oj1YqTPXaE397MBlOL11KQsZtd/lMZeWkqCqXKc7tpm3WuEZ01JjENiXKypNIRyCgEjSgJhPRDqYrZn6bGo522caGVUJMZpb7yV+lmjukkhY9vj8YSsc8J7NnJvs0hdhZQwMt5iYzyoJzqMEpReToroPNyePZ7gQO9KJMTFmJPXdFY51BKw5m9BbhU/v5F3qUeWI9QxpfrOz89Hkya+04jGjRsjPz8fAJCXl4emTWsCYWVnZyMvL0/xc8JZOmYaP/UKhr/UoiUIWJk7czKUT41ZBdF0y5ZF7nRbz6m52skWALSor+36omXpobVPNPOOhQ0RvxgY5uFsCc4drWfX68KjV5j2ekW+1QCG+a2ulHw8WZ0w9m+l7PKhhdFXXK9WPFopmDbL3p+jVlnp1kqtqlYVpcweUjJS1IU5rXeq1h51EtkrJO08qc+p7+sXTdN9a5IdGVl4wFPJofb+B7WuGcdqa74YPcESWdFSxxpqBbFyULzJ5zGDnNbpMmYWHkrgTL/SqlOW/ow7TivsBALt4aBMIQ76y4pezdNwotj5DHLS1yz+u8aVVd3d8ZTffVvOBdDKMu6SLugolm0SPR4dwZsM8P7776NXr17o1asXjh49yuy+duOWCQ6Qn/R/u/dsjOpUYxK79snhQaZpuu/NYRgFBW3SjAumM5CXzEQx496z8Y9hbQPliJ9/9j8G67qvEWbdz9dNRI3nL+2MuQ8MwbJHazLOdJaJ0n1lr+A0qNcqmKUKiP3hld5EvMLRkJASjWnOeAlG+ufs+9m/8/9e2wMLHhzK/L6Aey2jlN632esAcSBF4D9XdMGSiecGLHtCzDwZTUkPjdSfqi9QtoFrxT78Deok4ue7B2H5Y2YzQvGZi5c/ar4+AHRFQT+7TX00rpcUMIdmSUZKQtCJpZTsNHOK6kYamZPMIjemu/mVyO0b18Wih87BbYN9GQ0ulXEDsYs/Hwl+V8KYs8M9QVijxOuGktl8z+ZpmHh++8DfQ/wxL+47rw3WPaUs77x/Qy9LdTQyBw2SxMZhOa+L1/uLumaiLmfrQuH+LJcm3j1KcEM2kumIbZBS679lUR2zStn7hrXFr/cMYlCDGsYPyEFdBkpi6TxlFFXZQsZtxIPQOVCwEJEe7Fizt3LXHtMpTCkwGjVqhEOHDgEADh06hIYNfae7WVlZ2L9/f+C6AwcOICsrS/FzOW677TasXLkSK1euRIMG1gMsEfI0k5xEpCYrC3quHigW6paSGIf6dYSTlmDTvNomTY2liJVHKRpuQL7rmRQbQkJcDFo1qK0peEvNMPVkqTFLHf8GTq8wwLsbtlMJ8idFr9K2cb2kwAkqa5zSX/COqB5aXnAfSYyLDfJrDrneasX88A4G21YSuDIlMQ4N67gr7Vm6RZcRPa9YMPNuqhIIVus+SmMhS0NBIe5H4j7GIzMSC5plJAfGjZPrspL1nlq7saqu3EZLaaxmp9WSzYpVr1a86oYtSYc7Q809ZT7T/euaLCRWkVtHG9VNCnxuVllnBFfLigoonaTbhZVihblALpCsUcxaHcXGeNDURAwsLVi8jzQFV1m9dw5NoypyIZGx8pWrsoVkKYQGppp2zJgxgUwiU6ZMwcUXXxz4/LPPPoPX68XSpUtRr149NGnSBCNHjsTvv/+OwsJCFBYW4vfff8fIkeyDUroJt56OsqQd58wZvGiu04zUCJ11mB8Kk1ujusrm0kr9xq7MGjz6rdIpbEv/xr5lA339qF9L/aaKTo2/TJN5t8NpumDlvqDXJaFVg9o4XuQzJ9UjqDkZayLJ75PcJ0c7OrrZTTlvejZPC/xbrGRqpeG6IIxn8XPpUVLJXSGNadBKY47omp2qWY4WReWVgX/zPqm2grAR7WAi8KlAUVml9kUGsGR54fW5bFrxCVfqH9LgsHo3fDytAqVI3VVZlyzM18IbElyQWnBSrLOG13wuZCNp41ckSw/17KJHszTtiyQIGZUq/JnkisurAvFbHMnMx+EVdZHI1I39h285Gfr7rdWuo/Z74TCwc1a9IDcaxdSrMgPbjCjV1/9+wyWmFk80j4THjRuHBQsW4NixY8jOzsakSZMwceJEXHnllfjoo4/QvHlzfPPNNwCACy64AL/99htat26N5ORkfPLJJwCA9PR0PPHEE+jduzcA4MknnwwJDErwZfHD5yA5IRY9n50DgM0mZPyAHEz8foPl+6hhPbV8qKHWz3cPQoF/Q8Rqo/v2Nd1x9HQZLn/vb8VrvF5gwYNDZTOCaJGZmoT9BSVWqmgKFv2kU1Y9vDWue5AvMgCc37kJpt81MJCmUAlhAXj3uh4468nZuso0mmpz6b+Mmcor3fbXe8/GyZIKnPOfBYbuZ4QbB+Tg0yW5lvvuoofOweCX57OplAn0vpuxPbLw8uytyD9VZnpDbBd1k+Ix6/6zkZORghkbDqleK/RrVnIIi03XzPvORov6Kfh53UEAPgusxnWTcPhUqabLwjV9m6F2Yhwu65GNto/PtFQPqUvAxd0y0aJ+Ci5+5y/Z6x8b3QFX9MrG6Df/NFROjEi2rBVfIw6pWfj4fuf7Ye3EOJwxoQx4fHQHPDtjS8jnesZ0v5YZ+PnugeiUWQ/P/RZ6Dz3UYpypQK4P92mRjuV7CkTXKHf0b27vj2qN4ECf36ycxeeirk3w6ZLcoM8Gts7A//ndbQQC71tHOwsuTStyC/Dewl3Ynq8/S4XW5mLuA0NQv3Yico8VBeJMWZ0HtB5JuL8wlrTWXSM8NLIdXp69zdBv2jaqHdKmmfWScPBkKbN6qfHjnQNx/EyZry2y6mnG+zLDkonnagaYfeLCs0LS1Wu9y29u74+jp8uCrHcWPnQOflh9AFf1bqryS2WsbIh57KX/Mbwt3p6/M/D3Vb2b4rwODdHFgLJaqli959zWvs/1Wn+qfNcxsx5+vWcQOjSpi9KKKhw8USJ/X6WbeMwpKz++sTcOngjeC/x6zyBmllzhhKYCY+rUqbKfz507N+Qzj8eDd955R/b6CRMmYMKECQarF764TTkmNc9lsW93gwbQTB3kzEetPkqt+NiAJj/ovpK/tdwJlOrBI9KzHlidBinlLzciNKhl4kmIi7GUVUWPr34QCq8jtVZ8kNk9j7cmxE6wumE1euKUk5GM3OPFzMa9biHCYHlOT0u6U4L669nSxEkoLwujDk2U667UruJ+eLVGzByzeDwe1bkiPjYGHTONb8jEAq6Z8WTWMK6ZiruMHowI8XbgCfy3pkHEMV60fqwnaLbaM8utj52zUkNcIIW/9VhyCTJT0/RkTPl7r8bVxhAsRuT6NOusXCFpVDXGkhkC1leBQrV/I5dlorGNCgyxHMhDeQFoK0IBhGSg00PdpHjUTYrHkVM1bZUQF8Nt/tXCy3jv7PXKWx1bnff0ZoYJoDG/C4FfUxLjAvK/kSXBzFAXlyWtR7RB3jkRgtFxYCTtmKq/OYfNQlqKfgsFmzwrLJHn15aWWEifaZcCw0w5QtwM3Ru3CCY06JO+9tQj6AgI/udGfgOY2yiLETa3yUaFAAWMdDVhc5ooEvaOnZF3K7EjkCALrNRSztze6eeW6+u6LGYcrHYLvxl5Q4PuC0IGHDNKE0B5XrDTdYEleuY5sduKWLlhtO0FrKSOVzL2CKQylXxvVM4w06Wtjl9lBSOb++tB2HR2ymInC4THbO4MiQwtqay0c5VLfeaV3Dl4rjmKqcYtlsnSYipSYBOpkHAFozo2xqxNh3Vdq3aaLeWiLk1Qr1Y8/u/zlSitMK9q/fSm3mjVoDbKKtU38kY2wqzNLhc8ODSwIWpYJxFHTpdZqov4sxPF5lOM8V7Ebx/SCu8t3IXEeOM6zSb1auHr2/rJZjWxC2n7SP1+7eCHOweYtk4Y2yML5ZXVePRHbZesK3plo2HdxEBEfb18f8cAdP/3H6bqBwCvXNkVNw7IYZaBwUhLvTmuO7YcOhUkHGSkJODYGRm3EhdKvHP+OUT3tee2b4h5W48oft85qx4Gtjaf4tVOxK9GsOBR489HzkFJuXlFr1HuGNIKozo2xuC2DbBgm/6sZymJcfju9v5o27gOujz9u+Fy9cZ/scq1fZvhy2X72N5UJ9JnKSwuR9P0ZPx6zyA0rJuIPs/5rHiHtgtN8S0Hi02H3hgYPH3nWTLttn64+v2luq61o06xMR58f8cAtG5YG10nqY8LGQOMMFXfsUfvPFCvVjweH90Bozo15lshDcRWQzPvO9uUm7QWZvqv5XFsQpjo0KQu/jGsLV6bs91/Dz9SSyh4DFlbfT6hL3Yd0+/GFg2QAiNC8IBfoEePx4MhbRtYtgLQK6gElW3TbkQoRezikZ6SYEiBoQWr4Ic8qKPX3FeBvgYCbBpFT7eTtqzQ1Ha6OZkJxiXg8Xhwdht9m1KPx2NqLCmeDOgkOSGO6XtWmk/kRkntxDj0lgTGFKdWlfvcaVcSMa1lAmAqPb9W5g9p2kU3I37E/q0yNBUYStkteBEX68Fgg4pAgV46ArUqYVff5JXuVYrc40jHsbCW8zB31jvP18TAkF+LlT6343UpzWdqiK3htFxI9DyD1BUzNsaDKo3YJFLEQYDV0Cvbab1a3a5KEcotZ7fUvsgm0lMSVN0Q3YLe8Wx2nh7QOgOvzRHuoXwTIyOrXnK8JRkzEiEXkgjBC3cJ7KzQ0sloKVU024SRUiEuNkZ2UmSlgOGVihMAEkR5nkKawwU6Fz2vyO6ur7c8o8JfNGF1vhLiCEj9WsNlGlR6fiGafKpKmkfexMcyinOiO8yyM4jnPrs2+wBwqlTeGi+SZ4skE9Z9Yoz2E7nxJaQpNqrMNR6Hx3ivFrKTWU1dLCXDnx6zvoUsL3oxIu+wkld5pnpXwuphgBtJTjSvCBJSFec4lMlFidA0qEZ/zxcXn2mGBaTA4ITRjjn9roGY88/BlsrkHSdBuPvUW/th1v1nA+A/AONiY/CPYW0Df/fndNJvpukmjekY+LeS0CG+r9Gm+v6O/oF/v351N4zv31z3b/9zRVdd1027rR/mPzTUYM2iByESvVmUNoLf3zEgJJBstC1mWsLu46M7YPb9ynPiK1d2xf+u7xmSDlDJj90IdvibKs05957XBm+O647hZzWydH8jbitS5j84FNNu62epfMDdSvWPxvdCRu2aTd2tZ7ewrey8whL88Y/BuK6fM0H3WCO3ifR6vZh539mBvw0HSubAdf2a442ru2Fcb/l2N6N4YNXFbx7UEm9c3Q2X9VDP9mOUa/o0wxtXd8N1ffXLDwLCs13WPQsZjDftwr3PblMfn97ky1BoZs62M8D5iLMa4Y2ruykGJQ9nWjXQPiRTip1Xr1Y8Pr6xFz4a31t3eSzWF7PwCiAe+J3Cv4Pvrfz7GfcOCpo7CXlIgeESujZNReuGoVksjMBbES0M5o5ZdQNxKuxYO+4b1ibw75sG5vAvUCdje2Ybut7o4tyzeY2Jct2keAwzsKG5XGfd+rXMUI0AH65B5Vghzd4joLWwqQUxS4iNQc/maSGnFXoi40cSWnNHp6x6aNdYeU6skxSPkR1DfX9ZTEl6siJYRUmBEx8bgzFdMy27P8m5reglOy0Z/Rgoi3VZTzmk5TivQ/B8Ghdrnzjk8XjQplEddMlKta1MJ+BhTh5QUIo/0/nb2BgPLu6WZfjU3o4eKtSN9XiIMfnMQM0c3aJ+ClY9MZxpvYTn/MfwtgGXSLnpwungxGLiYv1t6Z4qMUNPO6spi85t30jWMkVpHWKxvvCG6WuWuZmSfN0xs15YuOI4DSkwOKG1BjXhcBphlwWGk0ifUe8zK/qHWqiLtGQ5wUOcLcBwCqeQ8vi9AaVm3H2siFuZPIn3b0YEs1zWaL0JtXdV7s/XLe17pMDwY7EZ3Hzqb4W6foudukn2upYcPeOLA0TeUPxhHSdJ6XZ1bXBPSk8Jnnutbsx5xfjSQzjMKQkM3L5CZBqEKovkENwPjLhWyMX8OF1iPNC5nd3CTcoUQhtp39h73CfP8o6BIYvcIKI11RLRHf3GId6+pjuXYCx6BIRpt/WznAbRyX2WNHK10iML7hdCqkUteC1Mb17dHUfPlOGZXzajm4Fc427Zy87dopwNwc00rpeEV67oiiHtzAXo++HOAdzjV4Sm6uMvHH11S19Tm5cJA9mb12uNObOtES5CptHXfU2fZvB6vRjXR9vt4OJuPhPnH+4cgMv+u0T12jeu7ob7pq1V/D4tOR7HzpSbiosR5ELnkjnNDegJYHtZjyzc0D/HUjlKfUzLknH+g0OxI/+0iQJ9/xnTNROTLu6ofq1B1DKnsZo6lYN4un9OUbIWtIPBberj2Us6Bbm//HL3IJwuU1ZI1LRoTZvLHphoNr37341R7LB8nXZbP9SKj8XF7/xl+Ldf3tKXSR2ev7Szaua1KRP64Mule/H75nxTYzAuNgZvjeuOe6auAQD8tOYgXrisi+7fmx33wnzUoE5ijaIu5N7a+ov3ruuJ279YZaoO0QBZYDjAhV0ykcnYRNnr9epaxPu1zECX7FRTZQTuHwaCaM/m6UEuGErwFKrjYjxIS0lA20Z18AWDCd8pdw49vpFuZGzPbNSvbc4Co0eztJCsF6yRvk873u6A1vVNZQE4K5OHKTjzW3K9L2uMnkjHxnhwQ/+cgHWRGolxvmt6NEtDV414Hhd3Y+tzT2ij59X3yUk3pPQ2gpa7TIv6KRgh456liX8Su6ZvM9SWBAXkOSzDQcEQzmhaHHo8uK5f8yAlU+fsehjQSjljkjD/WT0ncGK+d8rtjSX9Wmagq8n5RW+mGS20st8NadtA1Y1UD+J4JYYPpUy/Zt8Ps9NqWeqfTqfHdTukwIggeE+pNb6nzmkwpAuH1qm1IMinJMpbnQgnLmq3UXpe6W9Ytr9T62PIptrrdXyx1tPf7K6iZmq3Wr6FWa1/VlUH/60UICtSsTP4GkG4CT1DPZyHh1zVeT4Pd/eSMH4XRkhNlljnKZwes0BIf2r13UXZsskNPeOznr9/MLN4Mvi5WQTZKsG/H9BbfxbPWe2X8+Ssu4T6EOag1gtD/nttD9nPeQs8cj6LdgtZRjc9g9s0wEMj2+GZMZ1Ur3PbGihnGUKnTMGw9hdnyetXdcejF7RHRxXLBenbbJqejCcuPCvw97AODTnVzh3w6s1yc8QnN+mPjm4XbhjNLQ2kZ+Y1/7ihHVjz890DVb9XakvxlObi6U0TnlWXa7kOTUJPaZkeKKh9x6ED/3TXQLx9TXfN68T9SNpfPpvQx3C53/7fAJzdpsZqQuvRZt8/WHfGMyn/uaIrHhnVHt01rAC02peHIvyB4W3lv5ApSs970stXfktdO8f+Jzf1DpSrxXe398ezl3RCYpw1N3S7GeN3qfyn0nsFcEHnxiHv3WrPEr/HovKq4Ht7oCuUwKz7z8YrJsdYpEMKjDDkgs5NZD/nvcF1gweJ0SeMifHgrnNaBzTHUoRnMZc+TcOHn/HrcMLyxQ0ytJ5+bbewr1WnBnUScdvgVob71c2DamJNXG/R/50lPGYWpaax2s/l7juglfsinrvhhD1bh9+81tjSO/bCeUNuFC03TTe8ey6oPBffINScZR+b31e3pqm4sIt2qk7xXCmdNwe3NR7/qVlGMq7rpz/darvGdXRnPJOSUTsRdww1vkbawZW9m6p+L66xnveklwGtlV1ueHFOu4a6y22ekWKofwDqsoOeQyjhEivdJNb/4xq3ttCbxcXE4J7z2gR9ZjqNqszP6sq4y+ixPmrfuK7hjIfRAikwIoS42Bjui6ygdXXy5Fv6jFbNB9Vc4oxOXtLLK6rMt5Pda3q8PzqqnBuD0+KFG1O5sjBZ1noqp9tdDI83wEtwlTVfN9ia4b7Z1ts/jbSK0usS/JiT4kPFCSczR7iZwKmx2oafY9O52XpNLzwfgawd3YPWm+BhgRFtGcF4IpsaV+OV8Rp9giwpV77cUsXWLZzmFNaQAsNm7hzaist9n7+0c2BQ9vEHH+yiEbzNKF/e2hf/GNYW6TpSZf1zeFs0TWcbqBQIFSxipWlJzN7XxNzCV8CUKU9hOr2mr3ZWAi2u798cNw3MwR1DWwd9fseQVrYpU76+rR+evUTd1UdA6kZl99pwlcYJjR4iYRNhlUdGtWd+TzlBwQnZQStSO48qCem5r+lj7JRMDble+sOdA/DURT53pxsH5ODavs1kg4E+NLKddgFhJNe9dHkXfHGz9YDM0v7YwoArj6FyFD43M/U8c3FH3HVOK0waYy67SDjL725VaKi5kDC5vzsfmztabRmJ7eKWR+qTk46BjC1RlOLVfXxjr8Bncoowq+9Z3I1C6+CWFg9fSIFhM60b1uZy3wZ1EiEMS8Hf6+e7ByF38mhmZbRqUBv3DWsj2SDID8Jr+zbjksVBqiW17qPmrk2kqrmdwjn485d2tlxuUnwsnrqoY0jk+FoJsbadRvdtmaHbPFHJjcqujCmJDIIvRaOQJOUOFYWuafNNnZ/xhrUQpgdh/CbKWEPIYaSJxZf2aJaGm/ypdTNqJ+K5SzuHzB0AkFpLW9kdTlzZqykGtbH+XqXCck1UfzaTbfOMZNW7mRlaN/TPwUMj22P8gBzNa92wrEbD/CnGBU3OBa11gNEZVhCK44Z9UYbKD0f0tpmwfvzrgvaylntW2l46Hwld6qwm9USfsXu7UTb1OAYpMCIIZxZs24MPBP/J6JnVtKF6hTEWGlW3LVyuEESjdDlwQ9s7gdXnlpsTos180y0m0HqaPRrHNyXNsIADD6fejyOrtcVTh6Boc8l0IguP+cNtB1t24MQSGRy0WHDv4Bgrx99XhP+KDwW5zMnemhJio0wGsQNSYHDi5cvtjxr7wPC2uKRbJi7rEWrKazcejydoN56ToR0sTtd9JYvV2W2MB6qSvW+Yzy0JseyG8hRR9HIvnG8bJcsTWTcbDpV95uJgk+km9ZJQIc2BqsFLY7vg/4a0DPrMaGwPXtZbSkwY2EL7Igbcc25rTL21X8jnZl+lrAuJuVtxxUoAYTH3nOtz+6pbKw6FxeW+e+voWmN7ZOM5HdZbn9/cB+P7N9flOiilbaOa7BB2xLL5+MZe/gCI8hZabkGIjzSmayYu7Z6Fh0fpcLWRYfJlnQ1ngRjXpxky67F37xQjr0Q0d6+3xnUPclu5c0hrXNItE9f1U3edvO1s4+6671zbA+P6NEW7xsFZTZxeA5U4S5TlqqLS2JpkBLviUN3ot+45m4GVkxU0rSNtWlHMzLlmeVjkzvnR+F4qVxrj3et6Ylyf4LEqtN6oTo1Drld0e2NQF2k/llPWyfHFzX1x/7A2it9LkVvT+7XKwMWi/Zlb55RwghQYnGiqI7o7azJqJ+L1q7sjOSHUlNdpOjRRTidpBOmgT4iLQecs87E+AhGOLdRJiZQE46mmzNaja1N28U6GtG2Ai7r63JDC7SSCR31v6J+DTlk1/TfG4zGcRuzK3k1xRc/guBlqAWTlyEzlu+mQckP/5rYoQx8Y0Q79OWcJiWRh4YER7ZA7eTQ8Hg/q104EoC2AD2iVgVeu7IosHX2qY2Y9TLq4kylFi91BPM9t3wg/3TUQt5zdUvtiBxFcfJLiY/HaVd3QsI4vdonR6evqPs1ks0B4VE7On72kE2LCKLjqRV0zg9xW6iXH4/Wru6NOknxmMfF1RmnVoDZeuKxL2ASfFdcznoFboxJyG3YecVtq+WWmfi1r1gOtN8HjXblF7DlfZoPPC2HtAIDzOjRidt/WDWvjhcvkFeVJ8bFo6Xf75RnUPCT+hP9vcZlyrkhCvx/Upj7uH6acglUPibExeOPq7sjJsMfNORogBQbBBelkc6asksl9WUecrg6YrYV+p1WS0qQYCQiP4vW618Rb3N5uraMa4aYcItyPsHENciFx+cTk8upxQWm+YjUjON2kRoJQE2zgEsST/S1VccuSqGRxEm2uiE6gnF7dPCExMAKfe2U+ZUdQsYLSxCV9PBIgBQZH3r22B67qZT1bQTigZfKXwsgqRHwSzhK5hemFyzqjf8sMtGlkznTfzGI3sHV99Gqehonn+0yK376mOy7trn0K/rTJyPBK/HN4W/RsnoZzOzRkel8zJClYO5hdCN64uhvG9nA+r7bR6j92QQcu9VDCbosPlozq2DjIDNboWHRj6l49vDi2Mwa0yghy3XArZizUeDP5ss64XmcgYYGJ5/tMr89pp9+dMaO2PabhQ2XqxHMLFtgYyIyfcN77hYPy5TwOa7V03rzrnFa42p+By64WcSLlppJs8Q+/G0E492W3otTmPNr6jXHdcXab+mhcNynw2bUMsvkJ6KkydSHruM/XIII4v3MTnN+5Cb5eud/pqnDnnHYNsXjHscDfvKwTjJrua6G2TenaNBVTbwv1zRfgIdSkJMbhuzsGBP6+sEsmLuySqVlex0y2KXNz6qfge1E9nIS1ufPF3bJwcbcsfL/6gOV7XdilCX5df0jn1V7VP7WQ+mXzJk7U7nZai7Ao6b3rezK4S/jRJTsVX8nEE5HiBgH8qt7N8PFfe5yuRhBX9zEuxN4+pBVuH2Is3oJdAd1qJ8UhMS4GZRzjI8gRDht+1rTklApXiyb1knDoZGlQFqA+HDLAAcBDI9tj55EzmLaCj0xralhw6GpKa1DLBjbFoYrwY3q7LVmkxfXOScfnknTYvkyOQPvGdbD18GnZ35mBLG35QRYYhCUCMSRkBnpJRVXIdW6DZwwM1vcM11PhSCBEIDfxcqVjQOtt0tsmeOHEfOzWNcBNsG4j+UDHbMsIKk/lu3BWaRQUlSt+57QysMbqJfwx0/95NH84ZXGKFAT51inlp12WPCTHs4MUGDYzuC2brBluxwMP4hhmxpDjkm6Zlu8xplsm0pLjTZ28EXwY16epZoR5KXYvCue0a4j0lATcaiBYoLSGbtDMd2uaqvhdUIwRHZLUtX2bhUQbdyM3DcxxugoEnBPObx/SKhCk2E7Ecxr3Z7exbeuL3GEeGtkODesk6nL1fHBEW5zb3nkXRT1sPnRK8bus1FrITquFJy46i1v53ZulKn5XE7CVzXrSr2WN9YaaS5BdaG1oeZzmZ6f53qldTL6sM7pky1vR3jLInmxgatx6dgv0UOmDeuiaXQ//HK4cCFPtMFT8fThQEyTUG9I/x/bIRlpyPC7vKR9eoKuKTEYEQwoMmxFH+o10eATyFt/y9au7+z6zUE5Wai2seXKEqYjamuVGiPbc7o3GC5d1wbOXaKd3tBNpGzSok4jVTwxH+yb63TqkC7DRLCQ8GH4Wu2jjz13aWTHauBl4dbunLuoYMBcFggX2aMENJ3s8rd/UmHh+e7w1rrvNpQLPXtLZgQ27XCwKti0+877BgX/3zknH8seGyWYIkZZ797lt8PGNvZnWxQmS4mPx5yPn4px2/N7tA8O10+yy2uClJicE0pmqDk4e8p2Je/KQMxPjfO/ULq7u0ww/3z0o8Lf4VT5+IT/FmF6u7dscP9w50NI9pt89SPaAQ8uCyLb1gVNBUsVi0/RkrHlyBJplyGeqnH6XtXaOJkiBQTAhZOzbKJW6RTPrhk1BtCKc0tjRFQqLa8yJjZg7kumgPtxgmeKCKkQN0TRvavVtVn1f3KRu6cp2vuYEjilFnUAuxaOdOBnTxI3zgxvrxBPWc4iZ5gt3+Ska4wLxJrJm+QinX8t0R0xf1agx+4q+wel2A4w+Oem4mIGbTSt/4CojUfbtICgBlo2OwOJgaUaQLmCpyb5TSiGqu5txg1KBJU4+Tt2k4P7j9DxhF9ImD5jZRlbXkkV6Ssx7ubx/mM9U245MQk4u/eP6NA1xV2nXqA6ev9RdFnxWUQv6+tBIn3WG2KrMKlf0ykZ2Wi2c57cYCt488huwgrwysmNj3b+hjWH4Ie5Bwlz14ljfmG2uYJnApFyVrsuyHwUO1ETlKSlgWjWosf4e3aUJszpEA5SFJIyYdlt/2c8z6yXJfu4meGpP3aI7cdtC+s3t8v3FKMKG3YhQYTeBhcKGVyDOzmGm77Vp6FMIxfrvc0Uv51O6KuG2Ph0J3HVOa7wwc6vT1XAcoWe5Zf7mxfj+zTHp4k4A7Avce1HXTNcddvB4zy9c1iXks9n/GCxzZXijlonrku5ZuERHqnUjdMyshz8fORev/rGd6X21aN+4LnInjzb0m0iePyJt/ZV7V+K56tLu7pWFjCAbP0xhcv/s5r4YOHkeGtVNxDvX9OBfuQiCLDAiANZpJlkQyYuKgJbVSTRapUQbprK+hZw8y9/FaasHcf91oiY0fKKDSBPSWcGsXTgPXnp7/DEs4tFL4Uq0zVmsZRFDrcdQEFC7ldx3LIrWaxwcbX2KBaTAiAD+b7D+TAjhQuesemjXKDRAIm1qCDl4u5Cw6HZNUn2WUjcN9EUVDxiNSG7+4Ii2aGkiqCwP7HTNEbCnqCjwW/Dj9JR5cbdMJMbFRIWriFVa+62zgPD3+ZYSiQr9QLBLzsgFRVWFUdcZ1sHnQiIOPtuorm8du9nG7BiDWtdXtDSOicB+5TbcMBOxWD/UXUj8/2XYn7xeoFdOGgBoWknlny5lVm60QC4kYY5RczteSMe81UXll3sGaV8klG2pJHZIH5nWVfuws6mDY2/oL7luUrzseJXe4e5z2+DOoa2xaMdRcxVkSOR2YZEbkMxTukFgixTe8GeLeuCbdUGfR/P8qHTaVr92Iq7omY1vVx1gVhZvRUgkKib0YKfslehQUNIu2akhz1lHYR3jhccDfHFLX9XvI41IVfY69aqcsm7wAmiekaJrvDSp6/5QAG6DLDAILkTgmhL1uHlN5V43BSmJVz93m1uYnafB7npyIpwJ575EJsWEgOEDIeo6XIlEpYkablCoWGlzPfILD0VsSXml5jXV1V5u5Uc6pMAgwhKx6aadc2tKQmzg31p7TJqO+CJeVOvX9kVgv6IXn4wel4nM/67uXZPL3NKa4wapwE/XpqmynzuRKcI9rRJ5DGiV4XQVAm4SGf4xG01ym5FxFC4uJFH0+gKc3aa+rusuZJRVwLBCOzy6jiWS/bLYkLbuyo4WmTjfoeySQTxB/47G2S18IBcSIqzweDzY9fwFxoNaMWLD0yPR8tHfAnURE+lTnZufr26tOK794ob+zXFdv+YATARU00BJ827Hei0E5xrYKgNf39YP7Z+YFfQ9LeCRxe1DWmHJruOOvtfbBrfE2B7Z+HrFfsfqYAdPXHgW/v3rZvkvaViFLXrXGZbrUTR3F6W5qlvTVCzZdRwDW+tTJoUTwrrsFuUuK+WBGSsDFk2gZ71j2dSCxVRSfKzGlTVt65Z3HU6QAoOwhBODLjbGOcWB2kmIdI6PNJMw53XwynjgCekXTO/v8SBWNkp15LxjtcXWze/eDFqvzUXGMUypyejm3AN6EDqH88LJ1yg3XxiBlZKJd1+OoClQF3r7Lss+Ti4koTg5R0dB83LFzJwRTkuykfVVuDba5lEWkAtJmKJk8m03A/za77Oa1FW9jsVi0ylLvQyBLtn1rBfmQpqnO5OZIhwm1nAxtxbjhhprpwK2qSLypXO7sxsUFLaZxLpk/ErHKAluRLjQq7kvk0CdJGfO/OTKbVAnUfG67NRa3OtkF0rzQ2D+sLEu0YoLlkvu8EqjqoUgB1A2HeOQBUaY8u3/9UdFVbXT1cCYrpkY3KY+UhKDuxLrsbhp0kjEx2rr2/ReZwesp6NmGcmM76gPN2z2IplwWLZsjYFhc39zWm7gXb5cezrpQhJJVktqyHXjSJxKo8HN7Nvb+2Nj3il0zNR3iMKalMQ4rHhsGHo/Nyfw2U93DQy57tazW+LVP7YjM4IUGG7ErnEc+SPL3ZiVRYzMiUIR9K6NQwqMMCUhLgYJDqXWkpKanMBdmSJVkFi9jjAOTbBscYNiyKtRCTe4HPBAew8dWc/rCqK0SeUUNk6lfSbM4fF40Nlhy866tYJlmwSXHNQQkQ+zGBhmfmPTZCkoHaptFsy0ZDBCGZoBCSaQ+VNoG0Rak7h5mg3nU0A395PuTX2m060b1Ha4Jmzo3iw15LN+LWsycwjZbOzAzeOJB0X+lHIlFVWSb1w8ABgQ8QJqZL8+12CkG7l5TTGK5qM48Ky85d22jesAALpkpwY+S02O51qmnZiS1xjMo3rucLpUO/WpFhm1EwAAg3QEmBXqRHso49BxNcGE2BgP/v7XuTj7xfmorPbC640+ucauwHR2Q/OqQ9iw79Ey57+iVzb6tcxwxH2Jdb9b/uh5qJPkEwLFstDd57TGpd2zEBPjwfr9J3DHl6uZlbnuyRHM7mUWuXZ0wqImOcEnbiTriMweCch134hXZhDckHYd2XEdRd3LyWflLesNaFUfix46B03Tfa5Aqx4f5hqLa7ux7XDKX0y9WvHIO1ECwPw62ahuEv585Bw0rpukeW1gTSA52zCkwCCY0aReLcTHxqCy2nfCFkVrqQI0I9lFOLo4uKHO2i4kHtuVF7xapaGCMBET40HTdN8zbj54immZ9VROzaJ9doj0zZba40VSHJAIehRXI21ntWaPpFeiGWg6op62BvG6m2GjZaAcrGQVp+cKPcWzWpay04zJTZHZi/kSnSo9ghv9W/nMseMkOeQ6ZkZmZhAifJFzJ3ACNwhgTgsWdhNNz9tNJmOVs0E81f+ONMQbMCFDVkOZDBICJ0sqAABlBuNKpackyH5OVh+RgZ5T/7aNfK5+ggtCJEO92j5SEiLjrFtdqez7r1gutMOtI2CAEekLIQcio1cSruGda3rgQGExEuNqzIRvGdQCd5/bml+hLh34PKq17NHzAAB9n5+reM1y/zXhztJ/nQepzLZk4rkhyjGzfHFzX3R8ajaTe5mB9hXyuGE0R9K7efSCDvjkr1ynqxGCmSZeMvFc12SZMsM/h7fD+Z2aoINK2nHBzSnRgMn4oofOCQnyaBduGK/RQHxsDN67rgdu/8Ln4ia34RnZsTG+v6N/IHYRQbBALmWv3fBekoXR9PRFHTG2Rzbq1YqzZa2pJg8S05ACg2BKrYRYtGkUrP3vmFWXr8+gS3cbPJ64kQ6fOiVT+XCjcb3Q5xCnhxObNZo5UXZLxho36N/cNIRcVJWIIJw3/FLCPT1kbIwHnbLYWyM6lWKbsJdRnZogNTkeJ4orZL+PifGgZ/N0m2vFFxcsj1FLQmwMyhlmGDQjp7GUj/TcKiEuBj2b268AdIMcGG5EjmRDuA4aj4RdOB1PolWDFEfLjyTK/FkqqqsjU5XRxL8Jz06zfzPupKKKXBn00dI/l6i5mRiB+8mlhuTdoj7NjQQ/aOPHj0AaddaTiIF3luVfL7MYKK/dGJdIkF3d4EocbrjjCDLC+e3es3HBm4udrgZhM5G2sIoXscUPn4MKhpr5cGb6XQPRLN34CaiWUGCnUsZNfbXGJ9T+su0o8qIuTZBaKx4N6iTiy2X7bCjRpXgFwY0Qc/uQVuiSXQ9nt2ngdFWY8P0dA7C/oNjpahBhiuI6QPpQ7gQUGA429mU9stCgTiLObqOdklQJN8k3Uqr9YrSb6+hWSIFhA2dlKvu7EkQ40tTEhj1S6SoTJJEwT0qiL36Oo9YCHO/t8XgwuG0DbD3MNuOJvrJtL9JRwvFxY2M8YaW80Grj9JQExQCjBGGVcBzj4YJgFcBsLTbxsoT10gp66u9UPwpYYETb4swAciEhCIY0F/kiR5pJmNvmV3FgqXBsazccINX3p2dr4HCaNjGCNYsTMUrc1sdZ4wYvjkhvY4Ig+OO022g0UGOBQfAi2Z/hpTkdChqGLDAIgiHf3t4fC7YdxcPfrbelvF/vGWRLOYA7Nj9ixvVuhtxjRfhg8Z6wFmac3NBd2aspkhPjMLpzk6DPP7+5j0M1Ap6/rDNGaWRq4IXb+rhdLHroHBw9U2prmUJTk0KDL7z7NL0/giduPZl+fHQHtG0UWelqFzw4FAXF5YG/hTSirOMX2f1G9XQhp7pZi/opeP/6nhjQ2ryLTLRCCgwi/HHRAtewThIG+SciO6rFI6K9FBc1bxAxMR6M6ZqFDxbvcboqYYuvDTNDPnfShD05IQ6jOjV2rPxopFlGsmOZLMLReoogiOjmlrNbOl0F5uTUT0EOaoLuCjMz63jaUXpOoMiIjiTvmIFcSIjwx2XHpu6qDeFW3JiVob6LXEl4kqCQWtStyjrWOPGc7uvtBAtIAUU4iVstNCICoWkZTd5OvarUZF8MHjW3VJrHwg+ywCAIg7x/fU9dpoORMh26cJ8dIJxdRwSUFk4n2v2nuwZg/YGT9hdsM43rJSHvRAneu66n7PduVC6xJMIfj5Bh5n1nY+/xyM0G8sXNfZFRm4KFRgs0h/GnRn8R3i4k9w9rg6y0WrhQ4ipLhDekwCDCH5vVulrmXpG++SEil+y0ZGSnRU8wqfqSDQ8d5tkHTZP20iw9mUtcGbeMmUEW0iyGIy5pdsegGDr8iYnxNS5rFxK7SYqPxfX9mqteQ/0o/CAXEiLsSY6PdboKskSKaaObH4PM/ggz1Eny6e5jY4L7T7zftcSODChxMb6ycjJSNK5kj5NjWjpm3Ty/WMFtCppIbWciuqFuzQ8hiGc1o8mM3hXBEksKjDfeeAOdOnVCx44d8frrrwMA1q5di379+qFbt27o1asXli9fDsB3Kn3vvfeidevW6NKlC1avXm258kR4wFuQu2NoKwBAt6apfAvSiR2C6y93D8Jb47rzL4jgjtbGIiMlAf+9toc9lYkSXrmiK/51fvuQOWNQ6/p4eFQ7PHdJZ+51aNUgBQ8Mb4unxnTkXtaPdw7Au9SHCIIgCJ0EXEhcpowlCMCCC8nGjRvxwQcfYPny5UhISMCoUaNw4YUX4uGHH8ZTTz2F888/H7/99hsefvhhLFiwADNnzsSOHTuwY8cOLFu2DHfccQeWLVvG8lmIKCXJb4ERHxs9+t3O2fXQOZt/BhIxbow34cY66UWvUNC1aSouIN9NpmTUTsT/DWkV8rnH48GdQ1vbUgePx4N7zmtjS1ndm6UBABZtP2pLeXogVzt7IWs1giCMIByuhLOcpReyUAs/TFtgbNmyBX379kVycjLi4uIwZMgQ/PDDD/B4PDh16hQA4OTJk8jM9KXomz59Om644QZ4PB7069cPJ06cwKFDh9g8BeFqKqqqud5fMG8jeZgIJxLifNNvDK2chE3E+ZW8GSn2BzuUzs+xfncdwZUm0oiWYR0tz0m4CzsUoEnxkTk36SWJsXt2pLhVE+7AtAVGp06d8Nhjj+H48eOoVasWfvvtN/Tq1Quvv/46Ro4ciQcffBDV1dVYsmQJACAvLw9NmzYN/D47Oxt5eXlo0iT4ZPH999/H+++/DwA4etQ9p0WEcU6XVgKwT0AtKC63pRy9RNpc7cYTPKt1enx0B/RtkcGoNsZ497oemLZ8P9o2qi37PSnkCNb0yUnHjQNycOvglk5XBVf2ykbusSLcP8weK5RoJ9LWI4IA+Pbr6XcNwtyt+Xhp1jZ+hbiYz2/ui5/XHkSDKEiv7kb5llDH9M6yQ4cOeOSRRzBixAiMGjUK3bp1Q2xsLN5991289tpr2L9/P1577TXcfPPNhu572223YeXKlVi5ciUaNGhgtnqEC6hbKx4Af8FJ2OjVd8kkSxvP8OGWs1va7oojkJ2WjAdHtqNTCcI24mJj8PSYjshKreV0VZAYF4snLjwLdZLina4KF6JlHSDBn3ACO4ZXu8Z1bHMpdCMt6qfgvmFtSEYhXImlo/Gbb74Zq1atwqJFi5CWloa2bdtiypQpuOyyywAAV1xxRSCIZ1ZWFvbv3x/47YEDB5CVlWWleIIAUOOf57YpNtLm/GjwgyQIgi92zItCEanJ9rvKEARhJxEmaEUwbn5TkSavRwOWFBhHjhwBAOzbtw8//PADrrnmGmRmZmLhwoUAgHnz5qFNG5956JgxY/DZZ5/B6/Vi6dKlqFevXoj7CBFZ/OuC9risRxb/AIT+fbVbJqDI2+i7pGGjFGp9Itz49KbeeGhkO9nv7LBM6JhZF5d1z8LjozvwLyzKccu6Gy18dUs/3DQwB6nJkWm5RBAEoQdLye7Hjh2L48ePIz4+Hu+88w5SU1PxwQcf4L777kNlZSWSkpIC8SwuuOAC/Pbbb2jdujWSk5PxySefMHkAwr00rJOEV6/sxr0cQR52mymr2+pjnkhTyBAEwZOh7RpiaLuGjpUfFxuDV6/q5lj5boQUDZHBWZl18VQm/9TLBMELN85FLqwSoYElBcbixYtDPhs0aBBWrVoV8rnH48E777xjpTiCkMXrNgsM2u8TBEHI4pZ5mmADvU7CCUjOCl/o3REssKTAIAg3EMhV7cCk+MzFHXGgsET2u8gR1CPmQcIKWuMJgmBF5FgEEkQNkSNnRT5uflcUqDT8IAUGEfY4Oe3c0D8n5DPaeNpH5MUbIQiCCB9I8CecgFb+8IWmDIIFloJ4EgShDM3RBEEQPmjD4Sy0aSAiEerWBAuoH4UfpMAgIga3nMZnpiahWXoynhoTGYG2bhqYg/SUBAzv0MjpqoQQDWbRtPEgCMIqvKYRmp4IJ5g4qj0y6yWhXeM6TleF0Ek0yGuEfZALCRH+uGxOTIyLxaKHz3G6Gsxo26gOVj8x3OlqEARBEARBoH+rDCz513lOV4OIEOigKPwgCwyCIAiCIIgIhlesChL8CYIIdyiWT/hBCgwiYoj21Exjumaif8sMp6thKzn1kwEAd5/TxuGasMcb7R2aiChu6N8cANC3RXTNUQRBEARBsIVcSIiwR/Cri/bt3pvjujtdBdupkxSP3Mmjna4GQRAa9M5Jp7HqINxiYNDJJUEQBGEzZIFBhD0kPxEEQRBuItoV6gRBEATBC1JgEGFP64a1AQDX9WvucE0IggekoSMIwhqk6CcIgiAiBXIhIcKe+rUTyTSZIAiCcA2kLyAIgqjBS3ZpBEPIAoMgCIIgCCKCoVgVBEG4AQ+pdwkGkAKDIAjChdBZBUGEL5E+fsf3J5dNgh+Xdc9yugoBasXHomX9FKerETG4yRLjgeFtUSs+1ulqECYgFxKCIAiCIAgORKrhw9NjOuKpizo6XQ0iQnnlyq74zxVdna4GAGDTpJFOV4HgxN3ntsatg1s6XQ3CBKTAIAiCIAiC4IDXPYeNTPF4PBGrnCGcx039KybGJRWJENzkQuLxeJBEFhhhCbmQEARBEARBMMQ9IjpBEARBRBakwCAIgiAIgmBIhBpeEARBEITjkAKDIAjCxbjFjJYgCOPQ+CUIgiAItpACw0ayUms5XQWCIAiCIKKEc9s3dLoKBEEQiIvxbTmHndXI4ZoQkQAF8bSJlY8Po1Q9BEEQBEHYxn+v7YGTJRVOV4MgiCgnIS4GS/91HtJTEpyuChEBkALDJurXTnS6CgRBhBGRmr2AIKIJp8dxUnwsRdknCMIVNK6X5HQViAiBXEgIgiAIgiAIgiAIgnA9pMAgCIIgCILgAAXxJAiCIAi2kAKDIAjCxdD+hyAIgiAIgiB8kAKDIAjChZRXVQMASiqqHK4JQRAEQRAEQbgDUmAQBEG4kBi/6UVCLE3TBBFueJ2O3kkQBEEQEQpJxgRBEC5E2P9QBgGCIAiCIAiC8EEKDIIgCBeSmhwPAMhMpbRjBBFueCh6J0EQBEFwIc7pChAEQRChDGpdH+9c0wPDzmrodFUIgiAIgiAIwhWQAoMgCMKFeDwejO7SxOlqEARhAoqBQRAEQRB8IBcSgiAIgiAIDngoETJBEARBMIUUGARBEARBEBzwgiwxCIIgCIIlpMAgCIIgCIJgCAXxJAiCIAg+kAKDIAiCIAiCIAiCIAjXQwoMgiAIgiAIhlAQT4IgCILgAykwCIIgCIIgOEBBPAmCIAiCLaTAIAiCIAiCIAiCIAjC9ZACgyAIgiAIggOUhYQgCIIg2EIKDIIgCIIgCIIgCIIgXA8pMAiCIAiCIDhAMTAIgiAIgi2kwCAIgiAIgiAIgiAIwvWQAoMgCIIgCIIgCIIgCNdDCgyCIAiCIAiCIAiCIFwPKTAIgiAIgiAYMrZHNno1T8Otg1s4XRWCIAiCiCjinK4AQRAEQRBEJJGWkoDv7hjgdDUIgiAIIuIgCwyCIAiCIAiCIAiCIFwPKTAIgiAIgiAIgiAIgnA9pMAgCIIgCIIgCIIgCML1kAKDIAiCIAiCIAiCIAjXQwoMgiAIgiAIgiAIgiBcDykwCIIgCIIgCIIgCIJwPaTAIAiCIAiCIAiCIAjC9VhSYLzxxhvo1KkTOnbsiNdffz3w+VtvvYX27dujY8eOePjhhwOfv/DCC2jdujXatWuH2bNnWymaIAiCIAiCIAiCIIgoIs7sDzdu3IgPPvgAy5cvR0JCAkaNGoULL7wQ+/fvx/Tp07Fu3TokJibiyJEjAIDNmzdj2rRp2LRpEw4ePIhhw4Zh+/btiI2NZfYwBEEQBEEQBEEQBEFEJqYtMLZs2YK+ffsiOTkZcXFxGDJkyP+3d9/hUVT7G8DfTUKR3iEkQAgEE0IAIVSlGxFQ+AkWbFTlqijXiggWVK5gR8WGgNIEG4pKFwggPRB6L+khpPee+f2R7GbL7O7s7uzO7Ob93Mfnkt3ZmTNzpn7nnO/Bhg0b8PXXX2POnDmoU6cOAKBVq1YAgI0bN2LixImoU6cOOnbsiM6dO+PIkSPyrAUREREREREReTS7AxjdunXDvn37kJ6ejoKCAmzevBnx8fG4dOkS9u3bh379+mHIkCE4evQoACAxMRHt2rXT/d7f3x+JiYkm8126dCnCw8MRHh6O1NRUe4tHRERERERERB7E7i4kISEhePXVV3HXXXehfv366NmzJ7y9vVFWVoaMjAwcOnQIR48exYMPPohr165Jnu+MGTMwY8YMAEB4eLi9xSMiIiIiIiIiD2J3AAMApk+fjunTpwMA5s6dC39/f1y4cAHjx4+HRqNB37594eXlhbS0NPj5+SE+Pl7324SEBPj5+Vmcf0xMDIMYbiI1NRUtW7ZUuhjkRKxjz8c69mysX8/HOvZ8rGPPxzr2bKxf6WJiYkQ/dyiAcfPmTbRq1QpxcXHYsGEDDh06BC8vL+zevRvDhg3DpUuXUFJSghYtWmDs2LF45JFH8OKLLyIpKQmXL19G3759Lc4/LS3NkeKRC4WHhyMqKkrpYpATsY49H+vYs7F+PR/r2POxjj0f69izsX4d51AAY8KECUhPT0etWrXw5ZdfokmTJpg2bRqmTZuGbt26oXbt2li5ciU0Gg1CQ0Px4IMPomvXrvDx8cGXX37JEUiIiIiIiIiISBKHAhj79u0z+ax27dpYs2aN6PTz5s3DvHnzHFkkEREREREREdVAdo9CQqRPm3iVPBfr2POxjj0b69fzsY49H+vY87GOPRvr13EaQRAEpQtBRERERERERGQJW2AQERERERERkeoxgEFEREREREREqscABpk1bdo0tGrVCt26ddN9dvLkSQwYMABhYWG49957kZOTAwAoKSnB1KlTERYWhh49eiAyMhIAUFBQgDFjxiA4OBihoaGYM2eOEqtCIuSoX+13M2bMQJcuXRAcHIzffvvN1atCZsTHx2PYsGHo2rUrQkND8dlnnwEAMjIyEBERgaCgIERERCAzMxMAIAgCZs2ahc6dO6N79+44fvy4bl4rV65EUFAQgoKCsHLlSkXWh0zJWccAkJOTA39/fzz77LMuXxcyJWf9zp49G6GhoQgJCcGsWbPAHsTqYGsdX7hwAQMGDECdOnXw0UcfWZ0PKU+uOgaArKws3H///QgODkZISAgOHjzo8vUhQ7bW79q1a9G9e3eEhYVh4MCBOHnypG5eW7duxa233orOnTtj0aJFiqyPWxCIzNizZ49w7NgxITQ0VPdZeHi4EBkZKQiCICxfvlx4/fXXBUEQhCVLlghTpkwRBEEQUlJShF69egnl5eVCfn6+sGvXLkEQBKG4uFi44447hM2bN7t4TUiMHPUrCILw5ptvCvPmzRMEQRDKy8uF1NRUV64GWZCUlCQcO3ZMEARByMnJEYKCgoSzZ88Kr7zyirBw4UJBEARh4cKFwuzZswVBEIRNmzYJd999t1BRUSEcPHhQ6Nu3ryAIgpCeni507NhRSE9PFzIyMoSOHTsKGRkZyqwUGZCrjrVmzZolPPzww8LMmTNduyIkSq763b9/vzBw4EChrKxMKCsrE/r37y/s3r1bkXUiQ7bWcUpKinDkyBFh7ty5wocffmh1PqQ8uepYEARh0qRJwnfffScIQuV9dWZmputWhETZWr/79+/X3UNt3rxZd54uKysTAgMDhatXrwrFxcVC9+7deQybwRYYZNbgwYPRrFkzg88uXbqEwYMHAwAiIiJ0b9vPnTuH4cOHAwBatWqFJk2aICoqCvXq1cOwYcMAVA6x26tXLyQkJLhwLcgcOeoXAFasWIHXXnsNAODl5YUWLVq4ahXICl9fX/Tq1QsA0LBhQ4SEhCAxMREbN27E5MmTAQCTJ0/GH3/8AQDYuHEjJk2aBI1Gg/79+yMrKwvJycnYtm0bIiIi0KxZMzRt2hQRERHYunWrUqtFeuSqYwA4duwYUlJScNdddymyLmRKrvrVaDQoKipCSUkJiouLUVpaitatWyu1WqTH1jpu1aoV+vTpg1q1akmaDylPrjrOzs7G3r17MX36dACV99VNmjRx2XqQOFvrd+DAgWjatCkAoH///rrnoiNHjqBz584IDAxE7dq1MXHiRGzcuNH1K+QGGMAgm4SGhuoOpl9++QXx8fEAgB49euDPP/9EWVkZrl+/jmPHjum+08rKysJff/2FESNGuLzcJI2t9ZuVlQUAeOONN9CrVy888MADSElJUar4ZEFMTAyio6PRr18/pKSkwNfXFwDQpk0bXZ0lJiaiXbt2ut/4+/sjMTHR7OekLo7UcUVFBV566SWT5sqkHo7U74ABAzBs2DD4+vrC19cXI0eOREhIiCLrQeZJqWNb50Pq4kgdX79+HS1btsTUqVNx22234YknnkB+fr4rik0S2Vq/y5cvx6hRowCYP3+TKQYwyCYrVqzAV199hd69eyM3Nxe1a9cGUJlPwd/fH+Hh4Xj++ecxcOBAeHt7635XVlaGhx9+GLNmzUJgYKBSxScrbK3fsrIyJCQkYODAgTh+/DgGDBiAl19+WeG1IGN5eXmYMGECFi9ejEaNGhl8p9FooNFoFCoZycXROv7qq68wevRo+Pv7O7OYZCdH6/fKlSs4f/48EhISkJiYiF27dmHfvn3OLDLZSK7ztKX5kLIcreOysjIcP34cTz/9NKKjo1G/fn3mSVARW+t39+7dWL58Od5//31XFtMj+ChdAHIvwcHB2L59O4DK7gabNm0CAPj4+ODTTz/VTTdw4EB06dJF9/eMGTMQFBSE559/3qXlJdvYWr/NmzdHvXr1MH78eADAAw88gOXLl7u+4GRWaWkpJkyYgEcffVRXT61bt0ZycjJ8fX2RnJyMVq1aAQD8/PwMWk4lJCTAz88Pfn5+BolbExISMHToUFeuBlkgRx0fPHgQ+/btw1dffYW8vDyUlJSgQYMGvDlWATnqd82aNejfvz8aNGgAABg1ahQOHjyIQYMGuX6FyIQtdWzrfEgd5Khjf39/+Pv761rW3H///TxHq4St9Xvq1Ck88cQT2LJlC5o3bw7A/PmbTLEFBtnk5s2bAICKigosWLAATz31FIDK0Ua0zdh27NgBHx8fdO3aFQDw+uuvIzs7G4sXL1akzCSdrfWr0Whw77336h5ud+7cqat3Up4gCJg+fTpCQkLw4osv6j4fO3asbiSRlStXYty4cbrPV61aBUEQcOjQITRu3FjX3Hz79u3IzMxEZmYmtm/fjpEjRyqyTmRIrjpeu3Yt4uLiEBMTg48++giTJk3ijbEKyFW/7du3x549e1BWVobS0lLs2bOHXUhUwtY6tnU+pDy56rhNmzZo164dLl68CID3XGpha/3GxcVh/PjxWL16tcHL3j59+uDy5cu4fv06SkpKsH79eowdO9a1K+MulMoeSuo3ceJEoU2bNoKPj4/g5+cnLFu2TFi8eLEQFBQkBAUFCa+++qpQUVEhCIIgXL9+XejSpYsQHBwsjBgxQoiJiREEQRDi4+MFAEJwcLDQo0cPoUePHrrsyaQsOepXEAQhJiZGGDRokBAWFiYMHz5ciI2NVWqVyMi+ffsEAEJYWJju+Nu0aZOQlpYmDB8+XOjcubMwYsQIIT09XRAEQaioqBCeeeYZITAwUOjWrZtw9OhR3byWL18udOrUSejUqZOwYsUKpVaJjMhZx1rff/89RyFRCbnqt6ysTJgxY4YQHBwshISECC+88IKSq0V6bK3j5ORkwc/PT2jYsKHQuHFjwc/PT8jOzjY7H1KeXHUsCIIQHR0t9O7dWwgLCxPGjRvHEcFUwNb6nT59utCkSRPdtL1799bNa9OmTUJQUJAQGBgoLFiwQKlVUj2NIHAgcCIiIiIiIiJSN3YhISIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiUkiDBg1w7do1u347dOhQLFu2TOYSye+HH37AHXfcYddv4+Li0KBBA5SXlwOwbZ1HjRqFlStX2rVce0VGRsLf399ly3OXfYCIiEguPkoXgIiIqKbKy8tTugiKKSoqQps2bbBhwwYMHz7c4LsXXngB8fHx+PXXX+3eRlu2bJGjmERERKQibIFBRERELle3bl089NBDWLVqlcHn5eXlWLduHSZPnqxQydRPEARUVFQoXQwiIiKXYwCDiIhIRt9//z3uvfde3d9BQUF44IEHdH+3a9cOJ06cAABoNBpcuXIFADBlyhTMnDkTY8aMQcOGDdGvXz9cvXpV97sdO3YgODgYjRs3xrPPPgtBEKyW5cqVKxgyZAgaN26MFi1a4KGHHtJ9p9Fo8PnnnyMwMBAtWrTAK6+8YvBQvGLFCoSEhKBp06YYOXIkYmNjdd9duHABERERaNasGW699Vb8/PPPuu/S09MxduxYNGrUCH379jVYB2OTJ0/Gb7/9hoKCAt1n27ZtQ0VFBUaNGoWYmBhoNBqUlZWZ/FbbNeXll19G06ZN0bFjR4NWF/rdK+bPn4/HHntM953xfH/44QcEBgaiYcOG6NixI9auXWt121ry8ccfo1WrVvD19cX333+v+zw7OxuTJk1Cy5Yt0aFDByxYsEC3za2VcejQoZg3bx5uv/121KtXz6DrUUlJCZo1a4bTp0/rPrt58ybq1auH1NRUh9aFiIhITRjAICIiktGQIUOwb98+VFRUICkpCSUlJTh48CAA4Nq1a8jLy0P37t1Ff7t+/Xq89dZbyMzMROfOnTFv3jwAQFpaGsaPH48FCxYgLS0NnTp1wv79+62W5Y033sBdd92FzMxMJCQk4LnnnjP4/vfff0dUVBSOHz+OjRs3YsWKFQCAjRs34r333sOGDRuQmpqKQYMG4eGHHwYA5OfnIyIiAo888ghu3ryJ9evX45lnnsG5c+cAADNnzkTdunWRnJyMFStW6OYpZuDAgfD19cWGDRt0n61evRqPPPIIfHys93I9fPgwbr31VqSlpWH27NmYPn26pMCOvvz8fMyaNQtbtmxBbm4uDhw4gJ49e9o0D303btxAdnY2EhMTsXz5csycOROZmZkAgOeeew7Z2dm4du0a9uzZg1WrVhkEOKxZvXo1li5ditzcXHTo0EH3ee3atTFx4kSsWbNG99m6deswYsQItGzZ0u51ISIiUhsGMIiIiGSkfZN/4sQJ7N27FyNHjkTbtm1x4cIF7NmzB4MGDYKXl/jl97777kPfvn3h4+ODRx99VNdSY/PmzQgNDcX999+PWrVq4fnnn0ebNm2slqVWrVqIjY1FUlIS6tata5JM89VXX0WzZs3Qvn17PP/881i3bh0A4JtvvsFrr72GkJAQ+Pj4YO7cuThx4gRiY2Px999/IyAgAFOnToWPjw9uu+02TJgwAb/88gvKy8vx22+/4Z133kH9+vXRrVs3q11BJk2apOtGkpOTg40bN0ruPtKhQwc8+eST8Pb2xuTJk5GcnIyUlBRJv9Xn5eWFM2fOoLCwEL6+vggNDbV5Hlq1atXCm2++iVq1amH06NFo0KABLl68iPLycqxfvx4LFy5Ew4YNERAQgJdeegmrV6+WPO8pU6YgNDQUPj4+qFWrlsF3kydPxrp163QBnNWrV+Pxxx+3ez2IiIjUiAEMIiIimQ0ZMgSRkZHYu3cvhgwZgqFDh2LPnj3Ys2cPhgwZYvZ3+kGJevXq6RJYJiUloV27drrvNBqNwd/mfPDBBxAEAX379kVoaKhJawj9eXTo0AFJSUkAgNjYWPz3v/9FkyZN0KRJEzRr1gyCICAxMRGxsbE4fPiw7rsmTZpg7dq1uHHjBlJTU1FWVmYyX0sef/xx7N69G0lJSfj111/RqVMn3HbbbVbXDTDdXoDtiVHr16+Pn376Cd988w18fX0xZswYXLhwQXTaBg0a6P6Li4sTnaZ58+YGrUe09ZiWlobS0lKD7dGhQwckJiZKLqulOu/Xrx/q1auHyMhIXLhwAVeuXMHYsWMlz5uIiMgdMIBBREQkM20AY9++fRgyZAiGDBkiKYBhjq+vL+Lj43V/C4Jg8Lc5bdq0wXfffYekpCR8++23eOaZZ3Q5NwAYzCMuLg5t27YFUPmg/O233yIrK0v3X2FhIQYOHIh27dphyJAhBt/l5eXh66+/RsuWLeHj42MyX0s6dOiAQYMGYc2aNVi9erVTknfWr1/fIM/GjRs3DL4fOXIkduzYgeTkZAQHB+PJJ58UnU9eXp7uv/bt29tUhhYtWuhaxGjFxcXBz89PUhmBysCVJZMnT9Ztx/vvvx9169a1qYxERERqxwAGERGRzIYMGYLdu3ejsLAQ/v7+GDRoELZu3Yr09HTJrQv0jRkzBmfPnsWGDRtQVlaGzz//XPQB19gvv/yChIQEAEDTpk2h0WgMuq98+OGHyMzMRHx8PD777DNdks+nnnoKCxcuxNmzZwFUJp/85ZdfAAD33HMPLl26hNWrV6O0tBSlpaU4evQozp8/D29vb4wfPx7z589HQUEBzp07h5UrV1ot5+TJk7FkyRLs378fjz76qM3bx5qePXti7969iIuLQ3Z2NhYuXKj7LiUlBRs3bkR+fj7q1KmDBg0amO3i4whvb288+OCDmDdvHnJzcxEbG4tPPvlEl7jTUhmleuyxx/D7779jzZo1mDRpktyrQEREpDgGMIiIiGTWpUsXNGjQAIMGDQIANGrUCIGBgbj99tvh7e1t8/xatGiBX375BXPmzEHz5s1x+fJl3H777VZ/d/ToUfTr1w8NGjTA2LFj8dlnnyEwMFD3/bhx49C7d2/07NkTY8aMwfTp0wFU5uJ49dVXMXHiRDRq1AjdunXTjfDRsGFDbN++HevXr0fbtm3Rpk0bvPrqqyguLgYALFmyBHl5eWjTpg2mTJmCqVOnWi3nhAkTkJGRgREjRsDX19fm7WNNREQEHnroIXTv3h29e/fGPffco/uuoqICn3zyCdq2bYtmzZphz549+Prrr2UvAwB88cUXqF+/PgIDA3HHHXfgkUcewbRp06yWUap27dqhV69e0Gg0un2PiIjIk2gEW9N1ExERkdvTaDS4fPkyOnfurHRRSEbTpk1D27ZtsWDBAqWLQkREJDvrY5QRERERkerFxMRgw4YNiI6OVrooRERETsEuJERERG7sqaeeMhgdQ/vfU089pXTRyIXeeOMNdOvWDa+88go6duyodHGIiIicgl1IiIiIiIiIiEj12AKDiIiIiIiIiFRP1TkwWrRogYCAAKWLQUREREREREQuEhMTg7S0NJPPVR3ACAgIQFRUlNLFICIiIiIiIiIXCQ8PF/2cXUiIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiN7X3UioiL95UuhhERERELuGjdAGIiIjIPpNWHAEAxCwao3BJiIiIiJyPLTCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI92QMY8fHxGDZsGLp27YrQ0FB89tlnAID58+fDz88PPXv2RM+ePbF582a5F01EREREREREHspH9hn6+ODjjz9Gr169kJubi969eyMiIgIA8MILL+Dll1+We5FERERERERE5OFkD2D4+vrC19cXANCwYUOEhIQgMTFR7sUQ6RSVlqO2txe8vDRKF4WIiIiIiIicxKk5MGJiYhAdHY1+/foBAJYsWYLu3btj2rRpyMzMdOaiqYaoqBAQ/MZWvPXnWaWLQkRERERERE7ktABGXl4eJkyYgMWLF6NRo0Z4+umncfXqVZw4cQK+vr546aWXRH+3dOlShIeHIzw8HKmpqc4qHnmIckEAAKw7EqdwSYiIiIiIiMiZnBLAKC0txYQJE/Doo49i/PjxAIDWrVvD29sbXl5eePLJJ3HkyBHR386YMQNRUVGIiopCy5YtnVE8IiIiIiIiInIzsgcwBEHA9OnTERISghdffFH3eXJysu7fv//+O7p16yb3oomIiIiIiIjIQ8mexHP//v1YvXo1wsLC0LNnTwDAe++9h3Xr1uHEiRPQaDQICAjAt99+K/eiiYiIiIiIiMhDyR7AuOOOOyBU5SXQN3r0aLkXRUREREREREQ1hFNHISEiIiIiIiIikgMDGERERERERESkegxgkEcw7bREREREREREnoQBDHJrGqULQERERERERC7BAAYRERERERERqR4DGERERERERESkegxgEBEREREREZHqMYBBRERERERERKrHAAYRERERERERqR4DGERERERERESkegxgEBEREREREZHqMYBBHkEQBKWLQERERERERE7EAAa5NY1Go3QRiIiIiIiIyAUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEM8giC0gUgIiIiIiIip2IAg4iIiIiIiIhUjwEMIiIiIiIiIlI9BjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg8gB6XnFWLLrMgSBaUSJiIiIiIiciQEMIge8/MtJfLT9Eo7FZipdFCIiIiIiIo/GAAaRA/KLywEA5RVsgUFERERERORMDGCQR2APDiIiIiIiIs/GAAYRERERERERqR4DGERERERERESkegxgEBEREREREZHqMYBBRERERERERKrHAAYRERERERERqR4DGERERERERESkegxguInD19JxI7tI6WIQERERERERKYIBDDfx0NJDuOvTPUoXg4iIiIiIiEgRDGC4kZyiMqWLQERERERERKQIBjCIiIiIiIiISPUYwCAilzlyPQNFpeVKF4OIiIiIiNwQAxhE5BLX0/Lx4LcH8cYfZ5QuChERERERuSEGMIjIJXIKSwEAF1NyFS4JERERERG5IwYwiIiIiIiIiEj1nBLAiI+Px7Bhw9C1a1eEhobis88+AwBkZGQgIiICQUFBiIiIQGZmpjMWT0REREREREQexikBDB8fH3z88cc4d+4cDh06hC+//BLnzp3DokWLMGLECFy+fBkjRozAokWLnLF4IpcRIChdBCIiIiIiohrBKQEMX19f9OrVCwDQsGFDhISEIDExERs3bsTkyZMBAJMnT8Yff/zhjMUTuZxGo5E0XUWFgMvMAUFERERERGQzp+fAiImJQXR0NPr164eUlBT4+voCANq0aYOUlBST6ZcuXYrw8HCEh4cjNTXV2cUjcqll/15DxKd7cTI+S+miEBERERERuRWnBjDy8vIwYcIELF68GI0aNTL4TqPRiL61njFjBqKiohAVFYWWLVs6s3hELneiKnCRkFmobEGIiIiIiIjcjNMCGKWlpZgwYQIeffRRjB8/HgDQunVrJCcnAwCSk5PRqlUrZy2eiIiIiIiIiDyIUwIYgiBg+vTpCAkJwYsvvqj7fOzYsVi5ciUAYOXKlRg3bpwzFk9EREREREREHsbHGTPdv38/Vq9ejbCwMPTs2RMA8N5772HOnDl48MEHsXz5cnTo0AE///yzMxZPRERERERERB7GKQGMO+64A4IgPrzkzp07nbFIIiIiIiIiIvJgTh+FhIhIn5nYJhERERERkUUMYBCRS4gMOkRERERERCQZAxhEREREREREpHoMYHiYigoB5RVso09E5Exl5RVKF4GIiIioxmEAw8M8+O1BdJq7WeliEBF5rC2nk9F53hZcSslVuihERERENQoDGB4mKjZT6SIQEXm07edSAABnErMVLgkRERFRzcIABhERERERERGpHgMYRERERERERKR6DGAQERERERERkeoxgEFEREREREREqscABhERkQ0EgUNVExERESmBAQwiB/A5hqjm0miULgERERFRzcIABpEM+CBDRERERETkXAxgEBEREREREZHqMYBBRERERERERKrHAAYREZENmPqGiIiISBkMYBAREdlBAya/ISIiInIlBjCIiIiIiIiISPUYwCAiIiIiIiIi1WMAg4iIyE0s//c6XvjphNLFICIiIlIEAxhERERu4t2/z+H36ESli0FERESkCAYwiIiIbCBwGBIiIiIiRTCAQUREZAcNByEhIiIicikGMIiIiIiIiIhI9RjAIFmcTcrGy7+cREWF5bbVN7KL8PSaYygoKXNRyYiIzMstKsVTq48hNbdY6aIQERERkRUMYJAsZqw6hl+PJSApu9DidB9svYAtZ25gy+kbLioZqY0AJhAg9fglKgFbz97Al7uvKF0UIiIiIrKCAQwicgkNmDCAiIiIiIjsxwAGERGRDdiGiIiIiEgZDGAQERERERERkeoxgEGK8JQ3mJ6yHkQ1FY9hIiIiIvfBAAa5loemQfDQ1SKqMTQ8iImIiIhUjwEMkoUg8D0mEREREREROQ8DGCQrDV9jEpGHY8CWiIiISBkMYBARUY1nT0yCAVsiIiIi12IAw4U2n07GyfgsWeZ1+Fo6dl1IMfisrLzCrnn9ezkN+y6nSp5++9kbOBabKfqdtTeTmqpsEc54g1lRwbeiJL/CknIs2XXZ7uNLbmorDxERERGRqzCA4ULPrD2OcV/ul2VeDy09hGk/RBl8tvFEkl3zemz5YTy+/Ijk6WesPoYJXx8w+Ezqm0jtZM4INWw/d8MJc6Wa7vNdl/HR9kv45ViC0kUBoL7yeAp7GlMo2ZVk76VUHI3JUGz5RERERErwUboAJJ/ispr9Rramrz85R0FxGQCguLRc4ZJUUlt5aiI1dB2ZtEJ60JmIiIjIU7AFBsmCSe2IiIiIiIjImRjAIFmp4c0kEZEzMWBLREREpAwGMEgZvP8nIhVwJBjBgC0RERGRazGAQS7F231yN2qLtamtPJ5Cw7MTERFVuZlThB3nUqxPSEQuxwAGEZEEanvbrrbyEBEReYqJSw/hyVVRKK/gawMitXFKAGPatGlo1aoVunXrpvts/vz58PPzQ8+ePdGzZ09s3rzZGYsmcin2hSfyDALbthARUZWY9Hyli0BEZjglgDFlyhRs3brV5PMXXngBJ06cwIkTJzB69GhnLLpGc6cXsp72sOBO256IqrElCxEREZH7cEoAY/DgwWjWrJkzZk1uTvusoLaGCxUVAradvcEWFUQ1jD3HPM8SREQ1A+8LidTHpTkwlixZgu7du2PatGnIzMwUnWbp0qUIDw9HeHg4UlNTXVk8skNuUSkOXk3X/Z2ZX2JxerkT5aXlFcsyn3VH4/Cf1cfwc1S8LPNztmOxmTgWm4krN3OVLorLlZVXYPfFmy5bniffuwiCgF0XUlDBPr52nZvYdoOIyDOxdR6RerksgPH000/j6tWrOHHiBHx9ffHSSy+JTjdjxgxERUUhKioKLVu2dFXxyE7PrD2Oh787hKzCUgDAg98edOnyi0rLZZnPjewiAEBKjjwBEWeb8PUBTPj6AO78ZK/SRXG5z3dextTvj2LfZdcGONVyLyNnQGXT6WRM+yEK3x+IkW+mRERERERO4rIARuvWreHt7Q0vLy88+eSTOHLkiKsWTU50PrmyBUBpeQUAoKBEnoACkTmxGQUAgPQ8y619PJ0cARVt4C4xs9DxmREREREROZnLAhjJycm6f//+++8GI5QQuStbX4Z7cncEIiIiIk/C2zYi9fFxxkwffvhhREZGIi0tDf7+/nj77bcRGRmJEydOQKPRICAgAN9++60zFl2jKdnC3dYHc7VeEOwPMNi29dXSHYGI7KDWExgREcmCt2lE6uWUAMa6detMPps+fbozFkV63OGhWK1lVGmxyAJXDcXraUP+kjh7zk1qPZ8RkbqVlVfgwo1cdPNrrHRRiBx2LikHnVrVRx0fb6WLQjWES0chIZKb3KOakPM52o1GqRrnnubZ2L2LiFzlkx2XcM8X/+JcUo7SRSEreG2w7EZ2EUZ/vg9v/HFG6aJQDcIABjmo8szON5FkDfcReTijRQjrhojIdU4nZgMAUmUaCp7kx+uiNDlFlaMQRsdlKVsQqlEYwCCHaCPTtraEYESbyDG8tyIiIiKimoYBDBVJyipEUanlYUhj0vIlzaugpAwpOUVyFEsaiU9T2oi2tbfIsen5qKhwPMpx6Fo6Lt7IlTwvT8l3kJhViJKyCoPPCkvKdcNmkuOKSsuRnG3b8KPJ2daPcTmVlVcgvmrYWSIiIrKNp9wXEnkSBjBUoqJCwMBFuzBrXbTF6YZ+FIkj1zN0f8dnFECoas6Qnl+i+3zwB5Ho995OXdMucxIyqx9ucotKkak3D1sYPyxrFZSUIT6jAOm6ZpLWIx0Xb+RiyIeR+GbvVavTWmridzohGxOXHsLIxXvx9R4r81JxW0FbH0ALSspw+6JdmPPbKYPPH1l2CP0X7pSzaIpSuhXP9JVHMWDhLpt+M2DhLjy95piTSmTqvc0XMOiD3XYHM7MLSkXPISk5RWaPebUSBMHgfGfMllMAb2jJmqLSctzMZcCYyF0xx5o0St+LubuEzOrnOJKOAQwXSdfr55gm0udRu+v+cz7F6ryupebp/j3og91YcygWAPDB1osmy+g+f7vZ+VxKycUd7+/W/d3nf//gtnd3SF62FHcv3odBH+xG7wX/SP6N9iEjKibTpmUZi0mvbq1yNCbDwpTqdeBKGgZ9sBt/RCdK/k1hSeUb/shLqQafs3+ifcxdV/ZfSbdrfrsvplqfSCb7r6QBADILLAcmza1jj3e2m5xDSssr0O+9nXjx5xNyFNFllu69hjve341LKbmyzZM3uGTO1O+Pou//PCdgTM7BMwh5ChW/B1Qt7XPYd/uuKV0Ut8MAhotkFVa/xcwutNwqwlZRsfY96Bu/2S8qtf5GNSnLtjdKcWy+7pALNyoftk7EZylbEBWqqRdLpQP15VXdsbafsx5sVZOD1yoDTomZtnX7IbKHdn8jIiISE5de+Yx0+Jp7vmRVEgMY5BB3afQk9aFP6YdDUh/VBkpkLJhq15GIiEhBvC8kUh8GMEgRli4IzrhYWJsln9/cD28qSA7cj4iIyARvDIlUiwEMF/GU86Dxm1pbE8/Y8qbXU7aZI/hm3JSGG4XswECFOlRUCMgvLlO6GESK4vmIPAWTWpMSGMBQgKXHL3tOA552IXTG6jDDL9mLu44Z7rpdjE7A9sTDuE/Y7/2tFxD61jYGMYjAlxTkOZjU2n68pbAdAxgqYcthL9cFz575yHV6knKwOrqedj2YOLZIp7ElAKPWdXB7Hninac+DuLtuBmccF+66LZS0oWpEJQYwiEjNeHonZ+M9hP0YwHARNTZ7tyta6mhQQcI0SrSWUGH1AHBsc6t0lchBTnkQd8I81aomrSsRERGpE1tz2o8BDHKI3ceepKNWvkcNdz9JuHnxncLd69RRfBC3jbnAaE3fj4iIiOzFa6jjeD9nOx+lC0A1i1hLh7sX78W1tHyUlFXgueGdEebXGADwz/kUCIKAjq9txozBgVi695rB754b3hlf7Lqi+/u/60/gv+tPYEBgc9Sv441/zt+0Wp6T8VkY9+V+9A9s5tiKOYkaW+4ojVuEHGHumLJnv+KNGxHZg4kP3QfP89LwdpVciS0wFDD84z34YOsFjP9qP7q9tc3k+1UHYxAwZxOyC0pFf//JjksGf+++YPlBPWDOJt1/n+r/1szJprS8wmTagDmbMP2HozgRn6X7LDY9H1kiZXz7r7O65RlbcygOAPDGxrNY8e91AMCFG7koKasAAPywP8Zgeu2F47t9hsELAAbBC30Hr6VLCl4AwIGr6QCAQ9cyJE1vzNkXtrf+PGv3bz31muvq9XLW8pbtu4aAOZuQ56RcALlFpbiYkmtxmk//qTzGl1Udi57m38tpCJizCeeTcww+1257S3kYrqbmIWDOJuw8n+LsYipuxqoo0fM1kat0mbcFE5ceVLoYdgl+Ywse/Ma+sqsp8eHfp5IQeVHavZPSUnKK8NG2i6iocN4dAR/IyVUEAPP/PMvrsA0YwFDI0r3XcDwuy+ThRRCAtVUP+ck5haK/TckpNvg714YHoGUigQBjRaXlAIDlRg81Oy/cxN5Lqbq/zyQaPhRofW8UhDBnzaFY0c+dMgqJ1LnaGZFw9oXOlmLVlGuuq28u5F7cqoOV+396XrGVKe2TlldidZqCknK75+8ObxC3nb0BADgaYxig/OFADAAgI9/8NjoRlwUA2HQq2ew0nnKDu/2c64M06t97yJVKyivsfpGgtKLSChyJcc+y63v2x2hM+f6o0sWQ5IWfTmDJ7iuI1nupRuRu9O8htPclJA0DGDWYPffeXi64Y3dGqwY2AfQ8rFNlaN8Yutv215bX+AzmDoEYT+IhMR8iUlBxVatdVyR95zWCSH0YwCCbuCKAQY7x9EttTd8D7blfk/Mez91PAfrld7cgjCfgJifiuccdqKl7j5pxXyYlMIChEu5y/Lvrw4u7n2DteQPgplVllZtXpWysHYtKDEesNuaOG/1tx5tUZXCrE7nvPRUROY63afZjAEMh5i5aGo3rmqvZM8KFa0bFkH/9zW1T4895LnEfvPEjR7FpMBGRe+jx9nYs2nLBJcs6dC0dhVX54PiQWbNsOpVsMcG3M/B21nYMYKiYUm8GLZ2reZApg2+JlcObF3HusFn0jxv9YIWjxxP3CcsWbj6PO97fpft7/5XK0WBu5hbpPuMmJCJbZBeW4ps9VwE4v4XhxKWHnDp/UqczidmY+eNxvP7HGZcul9dD2/koXQAy5OwbY1tmL3aLr9Rbb0e3i7s/cPBNsSlX16nc+7671qm7htKqk3garoG1emBA13bf7jUc7Uo7MtWJuCxuMyKSDVtiKs9d72XE5BZVtrxIyhIfBVJu3H/txxYYNZijo5A468DTfzDlwU2ezvbWAJ5zs+BsYjdW5pJ4Gp9reO4hImdx95cqRMZc08WcqBIDGApRQ5cAe841cpZa7PotAPj3SpqMSzG/LEDkbaxKbyqslSs6LhMhb2xFWl6xrMstKatA+IId2HI6Wdb5SvXl7iu476v9ot/p77/nknIQMGcTluy6bHWeH2+/iIftaB565WYeuszbgviMAsm/ScoqRJfXt+B8co7ZacQesp9YGYWAOZvw5kbzzRjFziExafnoMm8LrqflSy5jTWC8pXifpQyVnl4xacURLNx8XuliUA0k16no0LV0hL65FdmFpTLNkbTUet4i+XlSaxJPxwCGi9hykVL6IdrS8l0RYV17OE7+mZpZJ085WX237xoKS8tx+FqGrPNNzy9GWl4J3v7rnGzztGX//nDbRUTHZVmd7ocD1wEAH22/ZHXaL3ZdwcFr6dILUeXno/EoKa/AljPSgzn/nE9BSVkFfhTZpy0FMf85nwIAWHUw1qYy/nEiESXlFfg9OtGm33k6zzjK3ZdBqxflimHW3kupJt1eiNzJ5zsvI7+kHGcSs23+bWFJOQpLyu1abml5BXKKlAuaKH2/7G4y8kuULoLN8orLUFxm3/5pL77kUD8GMFzEUlT89kW7kKeX8fbyzTwAth1AU78/YnOZHl9u5jdVF4S8kjIMXLgTx2IzdV+Za35NzpddWIoBC3fiZHyW0kVxuc2nkzHy072oqBB0ybui47IwcOFO5Dr95snxHd2RQNmVm7kOL1+KI9cNg1/6WbjLK0zLLzWJ2vW0fPT53z9IznZNn1J92iDRqoOxOHC1MmiVWSB+A7fxRBIAYNyX+/HrsQTZylBeISDikz0ImLMJP+y/Ltt8pUrMKkT4gn8Qm66uVjnOuD98b/N5zP71pBPmTEr6ZMclzFoXrXQxFPPpjkt4zsz6772UiqEf7kZJWYXd8w95cytC3txq12//s/oYus/fbvey7VUTuiscupaOQR/sQkGJPCNinEnMRq93d+CXqHhZ5qfl7GeBbm9tw/ivDjh3ISr38i8nsXALWwnqYwDDRY7GmH8znphViLN2RM317b6Y6tDvxQgCkJRdhE93VL/VlvOS4fmXH/kIAI5ez0BydhE+32m9m4SneeGnE7iYkouS8uqbtNWHYpGUXYTTCY4dO1LZNeywDMvVJkB0tve3Gg5Pd06v24t+gNXW7bD2UCxSc4vx90nXd0PSBo6uVAWFgcoRMcTczK3sfnUyPgsv/1L9ECwWqLElIJVTWKoLSs+XsSWTVH9EJyItrxg/HZX3ptUe+pvSGfe8S/dew89R8gWfSB0+33kZf55MUroYsrLlHPLZzsv4y8z6z//rLGLSCxCfWdm10dUvlnZduOnaBVZx9igkSi1L33ubzyM+oxCXU/KsTyzBpZTKlyHmroGOcuY9/dkk891wZaXSF7O/HkvAt3vYSlAfAxhKkXCkq7GFg5ebRr09pasIKf/mxZ7jUuw3zt4nuceboz+0qoWpJOxmbno6dDmNmX8TETmC52DpuK2kU0OeQrKMAYwaxtGgiP4J0J1OhlLXm4EOkpWEg8TahdJ4j1QksCkagHFXgm05iZxWDiKqqeR6QHKj2zBSCV7TyBMwgEE2cXbQghdjcWpsjeNK+qtv0pzT6TuN0Ug1dszBGdUn97FoqZmsfmDPk45RS+ss1wNGDT90iciF+BLGc8h936e9ptX0+0nyDAxgqJhSLRwsXQCVbr5vL3Nr5C4n8gs3XNT/j0RU7iT27PmuPlrM7c9ydXtxdJ7qoHHL89jbf53F36c8Kw+ArZbtu4Zv9lxVuhgGvoq8gu/tSM46ecURBMzZJHt5KioEPPvjcYt5t8gxc38/jbm/n8ac306ZnSZgzia8+NMJWZebmV+CR5cdws3cIt1n2nOZ9nz8+PIjBt+T41xxqcsuKMVjyw4jJae67k4b5cZbuvcqlu2zPw+C9rJnbn3m/3kWYfO3mXw+c+1xDP840u7lOsuCv88h5A37ks8Clevb3Wh9lbqt0c8lU1puf0LemoQBDLKJq2/75XrQUCoJk1yi47L4XqWKYg+f2ou/E4IBziDnMt388DFiuDLuUp/f74/Bsz/aPhKDu5/79C3YdB6LtlywPqELfbD1ol3DTO+5JH/ibQDILSrD36eSMf2Ho06ZPwE/Ho7Dj4fjsN5KYtwNFoaztqelxI9H4rD/SrpBYmft1VB/biv+jQG5l1+PJ+DfK2miAdqCqiFu39t8AQs2OT4Shbk7qB8OxCC3yHTEk02nk3Et1fooVq6+NVv273UUlto/vOoPB2KQY7S+2sulq9ZFbDlXU+VJ2urpGMAgm8j58KiG22rj1XGHe31LVSBAcIt1cEd2tcCQkqxXxiPBWRddR0qo5t3R8bJZ3+BqCSCoo9GJOrYFkWo4eFyq47h2PU87k7jiOqGSS5FbcNVxxTqxn4/SBfBUiVmF+Pyfy1hwXzfU8vZCTLph9NJ4zG4178Ou7P+eW2wYDa2okGfLaKOsgiDg1d9OOTTU3pe7ryDMrzEGd2mp6nqT8wSseL9a/eEXjc74mqr/qZvp9pNaZjm7hdhLjpsrc/vjnyeTkFtUCh8vDerW8sa4nn4OL8tqWZy+BNJXUx+yiFzFcIhiNd+ZuB9XXmtdcS/D87F5PHbcBwMYTvLqr6fw75U03NPDF4OCWmLNoTiliwRA2sFp6WRtMAqJDOWx5tLNXFnmc+VmZZOsvOIyh4IXAPDhtosAgJhFY3SfqeV6IPfFT22BAbELr5ovxpa2n6MXSmvr7eh2cVXLgVnrDLtFuCKAYQt3f0Pi7uUnIvOqh7Y3iGB4PBVf9mscT7zGqO3el0yxC4lKvPu3aR/auz7di093XJI10VdRaQUmfH0Ae23of7v/Srru3xtPVCeRKyqzre+Z8XpcT8tHfEaBTfMgU9/suYrNp2/o/t54wny/W7X7fOdlnE7INvv9ra9vxR8nDBMZrjkUi5+iLPdFFnMmMRuf/XPZ6nTai7O2FU+FzFdrZ10o7S3m4WvpWLbvmuHIL7KUSB5rDsXiz5NJmPf7aRSZ6f+6/kgcdp5PMTsPbR3uvnATp/T2t/c2V/cv1gaYErMKDX4bNn8btp+rnPcfFvq4W5JdWIp5v59GYYlh+b/bew1rDsUiYM4mJGTaf25cdyQOuy4Yrr+U/aywpBzzfj+N7MJSu5etL6fIcD6eeKNriws3cvDx9osOBQfLyisw/8+zuJFtmqixvELA23+f1f1dWl6Bub+fxswfj+NmjmOJHX+Oisf2szfMfv/T0Tj8c878MQcA28/ewM92nKv15RaVYu7vp1FQYtpX35wf9l/H/itpDi1Xa+WBGFnm48ixsPpgLPZdrryHu5aW7/D8rPlg6wUEzNnktLwtYpbuvWoxEW1haWUr5n/O3zQ7jTuxlHvB+LOcIvHrh9w2nUq2eI07n5yDT7Zf1P3t7JdJls4/csgpKsXLv5zU/dseecVlmPv7aeQXSz8/GfvxcBxe/PkE1h2pfPFt730GUNnC9c+Tnpn8mwEMlbhwQ7ylwWc7rT9g2epYbCYmrThi9nup18F1Rxy7EQGAmT8ed3gecnLH+2vjpHZyJHlSyic7LuHeJf/a9Ju/TyXbtax7vvgXn/5zyebfJRk90Erhqgc3R5aj/elDSw+Z7ENqevB8/Y8zmLUuGmsPx2H9EfGWbXM2nMb0lVFm5xGTXhkcWLDpPDad8DjyYQAATpJJREFUrt5/lu6tzvB+Mr4ysHEsNtPgt/pJzrZKuKES23Rf7LyMtYfj8KNR+f+3+Txe/+MMAOCxZYetztuc1zacxrQfzK+/OeuOxGHt4Th8LtN158tdVwDwbZbWA98cxBe7ruiS8tnj0LUM/HAgBq/8etLku+NxmdhwvPpmd8e5FPx4OA6bTiVj7u9n7F4mAMz+9RRmrD5m9vtXfzuNJ1ZZ3udmrD6G2b+aH7lDiq8jr+LHw3FYeSBW8m/m/3UOjzpwPOl768+z1ieygS3HhvYBMa+4DI8vr7yH03ZHTs8v0U0n9+n6q8jKxJKTLdw3yu29zRfwwDcHzX5/PrlyZLavI10wKpELrn/agLnY3mD82Ze7r2Dt4TisPhTj1DLN/PE4nrcwks79Xx/A57uuOJRI0xaWzj9y+HL3FaTkFAOAwYsNWyzdU3l++kFioFMs6LPqYCw2HE/EaxtOA4DFOrBm1rpok1aunoIBDCepCf2o5MhPUW5lHmp6cFILqduE2055Cg+Y4vGcuYs7swuN9rRnaRkypf+xaRtpp5WrlZGg+3/T+dXE85P2eufIqluqG+OvDP/2jA2uO3Y8ZH1sIf3aX/O2jVJ+Phpv0krPHpZbYBh+aO+9t9zHTFlVOdTcjdcWchw22qqRK38fmccAhpN58psnOW5yeZ0lssb2g0SOw8oTjk3xdZB2TlZsuF7d8pWbnzPr3lNudu2hy1bgwAb2gMNSFp5wfiI3YeacVVBShtm/ncLEpeZbikil3Z3Frjs1+ZzprqSenngesx8DGGS3ch54iuDFTFlq3u0N9w3bSmppt3LkzY36LtDSCiTXcWbv+itxmDtrmfqBfPXtD66jfThx1SbwxFYKvP5ZV5OPMVfSbuf0vBLLE9rAHXdv7m/VeH5yHQYwnMwTbyC05Gim6Oqto/RbVWczGPLWk1ZVRetiz24v9hvp83HNylssjpuexsSOAanb3dNaz32x6wo2n7Y9X8zyf687JdmyJ5yfzF0DzSXJ1q5yclZ1Qs1Pd1xCrg0J47TL1L+WnU3KNkmOKTZws5wSMgsw+IPduJaaZ/NvP9lxyWQoeXOMk4+aW4tfjyXgTGJ1v/WUnCJ8HXnV6n3K7os3EXnRMBHk9rM3cOCqadLPQ9fSTT7Td+VmLrq+uRVl5dbXzZ5TqtTEgo6erk8nZOPXY7aP1rb5dDKOXDefeFNtcotKpSWVlbBB1x2Jw0Uzueyk0O6mP0XF6/J7aBnv89pp08wETnZfuImYquSuYsorBKw5FIu0vGLc99V+rD8Sh9TcYknlXHMoFt/uEc87Yus1s6CkDD8djdMdo/nFhn/bas2hWAxcuFP3++TsQkxcehAn4rMw7sv9KK8QUFpegTWHYq12X3cW/XP1zvMp2HfZcnLhc0k5Fr+vyZwSwJg2bRpatWqFbt266T7LyMhAREQEgoKCEBERgczMTAtzICVJPXnIEXVVW19NlRWHtBSsF0f2CXkeGZTfKfVL4AkPnlI4cz2lzNsZwdZn1lpOmqxdpPa8nJ5XjHf/PofHl9uXANH4/K78niyv88niDyzmkmTnVmWmf2LVUd1nn+28jIVGiZgt0TU11/tszOf/Opwc01aTlh9BXEYBhn+8x+bffr7zMtYflTa0/HNmEtAZ71sv/3IS93xRnQB65trjeH/rBVxKsRxgmfr9UUz5/qjBZzNWH8Mj35nu8xOXHjL5TH8kpDs/2YuCknKbEmnbcph/u+ea9Yng+H3MvUv+1Y3GYItn1h7Hg9863p3CVV7bcBqzfz2FE/FZDs1HECrnNXLxXvvnUXVkZxWUYtRn+wxGGTLeR04mZAEwTDqtb+oPRzH0o0jRcgKVic9f/+MMwhf8g+i4LMzZcBp9/vePpHK+/scZ3fnK0fP523+ew6u/ncbBq5WBwfl/nsWrv53GoWv2BcFe/+MMkrKLdKMljvn8Xxy6loH/+3I/TsZnYc5vp7Bs33W8/scZ0fOPnM8j5malf66evjLKarLP0Z/vk61MnsYpAYwpU6Zg69atBp8tWrQII0aMwOXLlzFixAgsWrTIGYtWHU97i6dP7uEkiTyVWEssZzwgy3lI6pfZXQ915YNPyi/flm1gvMzyqh/nFTuWZd5Tg172vsXLN9qe5oYDFmVvlySZ68DeYQa1pLbAMB6xpTrIZvl3eVXBIiXetDoyhCK5zs2qVgc2HX965DymjPfncgs7eJmHJIhMy6vc/tpjXPt3Yaljx4+2RVtGvmELlZTcYmQVVn6WU+icY1SX58jjwvXq4+OMmQ4ePBgxMTEGn23cuBGRkZEAgMmTJ2Po0KF4//33nbF41XH0Qq9WrrgxKJZ4kyNFwJxNVqfRRmB3nEvBx9svorC0HJEvD8X6o/Ho17EZlv17XTft5tPJOGkUuS8qLcd3e69hyu0BaFi3ls1lPJeUg61nb6B+bW+0aVzX4LuPtlWOty113HNzzQvt9XXkVWQXlmLOqGCbf7v1TLLND0EGTXhV9QAkfb+X4wbH+D5Gm/E8zkKz/jWHYnFH5xYOLccduCrZ5NK9VzE8uDXOJtk+tJqlG5lzyTnYdvYGRoa2Mfkus0Ce49eeGym5NqulViTuuL8ZU/ImVcq5RX8bq+oU6gDtSyE17z5Kl61UQhcWks7ccS6124Xj5Dl6ZU8MXfX/amtJrShPjdarkFMCGGJSUlLg6+sLAGjTpg1SUlJEp1u6dCmWLl0KAEhNFe9H6g70j+f5G+UdN9zZXJk919o8vjPTRM5Z/j6VjNdGh+BJvfHs3996Ed+I9PkTa47954kkfLzjEry8NJg5rLPNy7fUXOxiiv39Kx0lCMD7WyubDT4xqCNaNKhj0++fWmO56boYsSa87krO67u2z+TXkVfx6t3iwaSM/BI8v7666bWjD1qe9DZB6v2F/sP3e5sv4L3N0pv5S7XheCI2HE9EzKIxJt9lFrg+8O3sHEGCwPs7wNFRSKpyYMhVGJUz3l88Zv9x4il19aFYvPt/3axPSA4Z8mEkAHmujybd7fT+9lI4obRUth6brr6rEATBZQtlTMf5FEniqdFozN4ozZgxA1FRUYiKikLLli1dXDL5aTRAdqF7tcAYq9eP1BI5HqitzSPPxU0xC0WaEmbZ8CY0x0zTNVdZdTDWpukTMgvw96kkVFQIWHUwBkWl5RAEAa9tOI0d51JEL0gVgoB9l1NFkwvlFpVi7eFYbD1zA7HplUmkxPrBz/ntFLadvYGVB2Lw+PLDiI7LRFy6+RYFUpsbA8CuCym4bMO+KQgC9l5KNUmcpXUszjBfz7oj8aIPIIIgYPXBGBTqNXnWvi1MyS02+M3phGzEZ5iOHZ+cXYiNJxINPrP3hj1L77xTWFKO1YdiIQgCfjwch+A3tpisw4n4LGw4Xp24LTO/+veCUNmCaeuZGxaXKQiVycHEjtufjlZut2X7ruHbPeaT60XFZOBYbGUf2OzCUizbdw3rj8QhU+SYyi4sxfoj0vrSa6XmSjs2bWkG/nNUvMExn11Yig+3XcD8P8/iVLztrTa0Xvr5JIrLHOu+IeZ0Qjbe2njGbKK3nedvVh5DumRx5t807r+SZpA80VhUTIYu+aHxNr1wI8ckgaI90vKK7Uo6aM355BzsuZSK8goBKw/EmJyH9HfhChtaJEoJTp1Nysa+y5UvcY7qHRP6yzR3rDnTplPJeGvjGZtv0NMt7EP6sgtLse5IdSK/Uwni+5a55R++lo6AOZuQW1S5XaLjpedb+yM6Ee/+fU7y9OZEXjR8+fbXySQkZIpf38RO7+/8dc7kOuApikrLsepgDCoqBF1rQmtScoosJqXUOnI9A9Fx5us7M79E9LxuvC/Zev8mx8NqRr7jzwlSt6e9CkrEzzWXbprPM1NRISDJSrm09zg5Rfady0rLKwxyhpiTX1yGLDPnXkEQkJRlOA/ttVfs2K2ouiYYX58t3a5d1Ut4vOuC+Et8R8WlF2CLHcm63ZHLWmC0bt0aycnJ8PX1RXJyMlq1auWqRZONkiScCEidbM0A/n9f7kdaXgk+fxh4c+NZJGYVol/HZlh3JA7rjsTh8NwRor97fHllkjrjN8dvbjyL36Mrb7xqeWtw+X+jTbq8nE/OwfnkHKw/Wp39e9/lNNxSy9umspsz7Yco0bJZok26J/abKyIX54Mi2ej/OX8Tb2w8iys38/D2uMq3X9qHi72XUrFTbzvcu0Q8SPjQt4dMuobIcXO0YNN5nIjPgn/TWzD399MAgEiRkRJe/Lk6cduz66pbzWhHVXhqzTFcXzja7HIOXk3H63+cwYn4LHz0QI/K8lc9BV++mYev91zFB1sru0J1aF4fd3cz7Tpx/zeVSeBiFo3BV5FXdInrNp1Oxurp/Qym/WznZQBAN7/G6ObX2NIm0PnnvLQbh7WHpQVGYtLyMfvXUxjYqTl+fLI/AGD2ryex7WzlcsSSdJ2qSsJmzW/HE9CmcR28MtL2bluWaPe/NYfjcPW96vrU3kgmZhUi4tO9Zo9/fY8uq2wpZe5409YnAMz+7RRaN6puvXX34n0WfyvVU6uPISpW/sTgoz6rLN/C8WF468+zyCksxXMjgkSn/T06ERN6+8u27DGfV9ZRzKIxeEDvmNA6eC0duy+mWkxAqB/8lKvlwswfK88LdWvZ9v7raYmt8Ob8dgpbztxAV99G6NGuicn31vqYP1SVaFP7MDfv9zOSy/j8TyckT6v123HTwJlxwO+5ddFo2bAOjs670+r8rtzMxYr9lV1Vx/X0s7k8arDzfApGhLQW/e7THZfw7d5r+D06EdFxWdj6/CAEt2lkcX793tspabnaBKLmzie3vbsDzerXxvE3IizOp9e7OyQtT0uOrs7aOrfVmcRsdPNrjF0XUjDthyh8+3hvh8tiztgl+3X/1s8b8sYf5o+xz3Zexmc7L2Pf7GFo16ye6DTae5xjVefw0nLzNz17LqViSBfDl9vz/zwr6Xp9PC4Lx+OyRL9beSAGm4we/P+z+hge69cBT6yKwneTwhHRtXqf/uNEIt768yxSc4vx8shbrS4bAEboJTzW3qfKbeTivSgsLXf4muoOXNYCY+zYsVi5ciUAYOXKlRg3bpyrFq0oNiNyf55ch9o8Gdq3EtkFpSZJ04xZSkyrf+OmvQiZi9obE2v9olbFpaY3LNr11H+7qp/otkDC+iVnO/YGxdxDivaNUpFe3RZZqWf9/V7qW17tviPWWsL4cymJuhL0WqlY6m8sZ64cW5VU9TfXL5+1/DNFIvuPOc5swWecx0ju1vniLZVkXgiAlFznBt21SeEs5bPKl3iec5R2+2n3IXPHmv60zlBh4yF306iOzJVNew0xe0yrrA+J1ONTar4EJc9lcjmTaH7oR21un+iqB0lLLS+dwZ7WsUrfAxq3WNf/S3v90W5zS63hHKX/MqekvEJSb4x/r1R2eU3JkX6O9rHQZ0as5e9O47xwdpwjjsSYvvyLvJiK01Xb87TRdtXeE5k7/pXaZdzpPtpRTglgPPzwwxgwYAAuXrwIf39/LF++HHPmzMGOHTsQFBSEf/75B3PmzHHGolVJZddbt+JusQOlL3TkfvTPD2L7jy37lP60ovOSPiunqCnHh7UcB7ZcExwdycqmbc6LlShz21CJ3dl4mebKYFyTco+IpnReHLWcSzx5pDlPp+aa88QEvOaoOc+Nd1UwRWreIjWV3dM5pQvJunXrRD/fuVNaMzBPwp3ZvciVTdndqt2moRbdbeWssKvKLWwDqQ8UruQJdebsBJOu5C5r4oyHRHeuRjXsg9prlEZjuX6Mv5K76I7uG/YGQKq7kKiDvdvV3PrXtICIWurRnehvM1v2Fqcn8ZRpPraW05nBVG1jkAqbC8U929kUSeJJJJWrL+ViedjkPDm6+pz22oZTEAQBf59K0n2283wKkrMLsVMkF8CphGx8XpVXQN9NveavYnUSefEmsgpKTIaVVdLSvaYjx4gxl/gqu7AUuy+IJxjUX881h2Jx5HoGVugNsaul/8BzVqTpI1CZoA+oTBYrNr57Sm6RLgmiNVf0kkSJNSU0lxDPGv28HPpNnD/adlG0Saf+NPr7vP62/nDrRYvNXbNFkm2ZG7rZXJJJc/UnJ7HuNZYedI/FZlrtpqUvy8EuJMZbzJZkl/rNZsUSgxkMdSxCbDuk5JjW1e6LN3X1fSohC9dSzSeFc6a/TiaJJuM0d9recc5yUlugOi/RjnPScq9EXryJn/XyA5kjNoShfoLC3KIyk2bbYue0svIK/H0qSTR4f/hautkEfGLnKlu8t/mC6PGs7WphLrGz/jnuj+hEpye7XPHvdey9lIq/TiaJfn/gqrRzMyDeBUn/GLl4IxcXbpjvfqE2tnQLcGfHYjNtHkL7ZHwWtpxOxsUblhOKG9+fiXng24O4pOAodOaoJdTmzBERtcen8anq8DXxfHPaRM/ayb/cfcWu/cec/OIy7DiXgpi0fIv5j2oClyXxrGkMDwa1HOZkD6e8hZR/lqLWHYlHTmGZQXKi6SvNJw86Z2YkDkuyC0ox5fuj6BvQTDSLtD1vLR3NBQFU3iDPGNzJ6nSDP9wt+vkza49h/xXxm9PF/1QHeV43SmCl/yCgv+ZiQ/EClYkzx/fyNxi6V1/kxVREXkyVlJRp0ynx7NPacpgrgzX6o9toh9MFgCW7r2DJ7iu6smmDMdp+rwCwUy/b9ha9UUySsotwj4URj55eewxN69XW/S0IApb/Kz6s8n9WHxPdPq5ISDz711MAjLsCmT9pTPj6gE3z/+tkEr54+Dar02UXlqLxLbWsTvfyLyfNfmd8pOrvk0+vPY51T/bHgE7NdZ/pD3Ucm56PDs3rW804L2bq90fRP7AZ1s8YoEsUp0QSsufWRSO/uAwT+7YX/V5/+1y4kYMvd1s/nh789iB2vjTE7PGtT3sutUS7Z2lEmmAY1+2CTecN/n72x+PYdzkNR+aOQKtGdQFUnhM+2n4Jmkc0GNPd12D6h5YeQt1aXrjw7iirZbfHl7uvYJZRUtSYqqDFwi0XsHCL6dDFunOcIOiSbjoz2eU7VkYl2SuSDNmc/66LxvdT+5r9fuTivZLnpZT4jAIM+mA3lk0KxxNm9ulP/7mE+27zQ/vmpkkbbW1hEjBnk13llELqrZ12PW05J437sjrhpaXfbTieiJcsnJOByofiuz61vG98suMSAOCLXVckl9GcD7ZewGwzQ7RriV3iToq8IDmml1x594WbmPrDUUS+PBQBLepjV1UwdfrKKNTyrt4vLLcsEyAIAjq+tln32U2J+WX06V+vLe1jUVX3NBWCgLLyCnSetwUv39VFd09tfHv7VWTlNUEbuP5w20Wby2bJzB+PG4xyVBOSdZrDFhhOxtCF+5Py/K2GpsXmnJfwRseWVibG61pcXvk2+ZqEYc6ksiXJoaPMXSyvpcq3PlJcdfHy7GXpAVUsoVWmncPDXTfanzQajejbe6W5OgmdOWXljh8z1k5jlhIWaluV2JtEzLi+lSLWmkfsHJFnw5B/UqctlZAZU1sWsapKt5CgUKOp3sb6LaSSq4J8GWaGC3fmuTjZgQCjuzTQ1g9mxqjkXOEIbSu+DdGWW3KdlDjSUk1nrvWg1Bdnzrj31D6Ey03bWkpsaGNLI484g9Ttu7sqWCAIQFHVefNrCdvHWcm3ryrUOlGNGMBwEu0D4fZzKZKH7SNT7nKToqXNsG1rS4a9l1JRKsMDiBgplzebcmDo/TsjvwQnzAxLZcvy1UKOHCiCmX/XVHLllbmWmofYdHU85KpRXnGZzcMoG3Ok/714AlrPOAJ0AV678x3IqXJuXlUPLlLnLQhAQmah7t/uzhPWwR1pn5eNY20HrljuTmaOkvXoTvcm5tiUA0PO5Wpsm5+1ZOVycka9inUtJGUxgOEkh6r6R/1wIEbZgpBNxG64bTlvaSPXtvSLPXg1HZNWHMHify5JX5ANpETo7T013//NAcxYfczK8u2cuQL+NNPP2V5utOqS2Z5gSx7FZRX4x3i4NBVQejQGrafWHMeD3x407WdvQ4UZDxVnCyW3g5w3xJbOl/oBHlsW6ZRAjo0nF/3uW2rZZ93p2iAH/f3AXQMw2qSGxvvQI8sOi0xNzuZOx5D23OrsfV/uQA1g23NA5fTOWUl3PW84A3NgEOlR4tyQWtWEMNZJzUsdub6J/Vb/gqnfzcLchdSet7pKXZNv6DVplqMMarm5cFUXJzkXIwjqedByB+erWn2VltnfkivLTDeCms7pN40ONPBw5xtaR04X7nJucOf6EWMuqaGanEvKQdsmddFEL4eSHC6n5MLbSyOauFkrq6DE4nKjYjLQ3b8JavvY//442kqrV3OUvh1R0whCUu9VvDUalAmC2YCEudl42nGvRmyBQaQwZzezlnSi5tlWPm6yKe0d3cJNVs+j2HKOUKrv+aZTyfhu7zUs21c9Go+jgbOzSdmIvHgTgiDokqmJMbd5LqXkigZlCkvKcdqOEXky8oux/kic6HdHrmegoET8wSbXSg4Mqf2aj8Vm6tbV3Ig8UpjbXgevpuN4XCZSc82vp5jjcaZ92rVOxmehqLRcNP/DcRsfxPRHHInPsC/R87HYTFnyxdhLuy/rHxpXbuYh3UwuBEuKbMg3s+9yKgLmbNKNkiCF2Khiuq5LVs5JPx6Ow0PfHjT53PSUUD2fG9lFGPTBLocTd47+fB96vrPD7GhGPx013LeX/3sNAXM26YLA5kR8uhfDP96DsUv265ING7vvK/NJmi+l5OL+bw7if5ssJ4YFpAfoZv54HCsttPQ+HpeJiE/2oKCkzGqyUH2PL7fcokYQYHFfembtMYNyTfj6IDZEVx6/kRdvYuwS8wm89ZnLEWLJG3+csRqMl3pJ1Y629MOBGGwWSZJubkSxyzfzDEaFkou5S2p2YanBiDeWrpeegi0wSNVc3odatB+3axatZCJQm/oyuiCOr5aWC/bQv/FQ82q8tuG0S5bjyPHjin3NHWw8Ib1r07QfrI92YY4jx51Y4rdtZ60PM2pOWXkFxnxeeZP7YLg/fo6SPvyr1l2f7oV/01vw76vDDT5/4acT2Hr2Bk68GWHTW9qfoxLwc1QCBndpabJf/30qGQUl5VgxpY/J7yatOGJxvtrs/dYSIU/4+gCeGVo5spI2gGFtmEapTsZn4Q2jEZWkGm/moe1GdhHGfbkffk1uEf3+fHIOSssrUMtb2ru0/64/ofu3Pd39TiVkYcLXBzBzWCe8MtLyKAvOIKBy2O03Np41+PzOT/agYV3bb8fn/S69vh5fXrkPfrz9Il4bHSLpN+9vvYAfn+xv8Jm2C4m1+NlBiUN/6/vteILdgSkxK/Zfx4L/CzP5/NXfTuOhPtUjDWm7Jn6+8zK+fqy3Q8u0lIw4Pa/yofqC3jHr6L1OfEYh3vrzrNnv/7fpPC7fzBMd7tySfZfty2mitfn0DWw+LX7+/9vMaGla+ruWftc3QPr9xF4Hyy9m9m+nTD775VgCPnygh+j0T689LnsZzHno24MG+9X93xzED1NNr0WehC0wSNVc/VBv77OWHIEWJR/VbCq+2a4iZj5302dQOfY9tYxOI2cg0PYcGA68KXaD9h6uCHDGuCh5qdwBo7gM+7vFlettWHsehrS0iSv1abPg2zvChrkWFdEWWiJIkWlhFBGtVKMhAzMk/EYKe4YitCa3Kh9LooWRixxpSWIr7ShGcgV9bCUI5kebstZKR8zpxCybf2PLKAZi57bqnABy1Zs6rpEAG6LaQiW3NnZzRfmjYx27Htjigsg5LSnL+cPIK4kBDFI1Nz9HSqKGi6YzW7rUhDrUl5hZiIA5m7D3Uqr1iT2OfLXtDsELoDroqdbWIjZtRZlXwZHTiv5vnXV6EtvHxG5sjc+PzkrQJoXxkuU6TjxlxBhLlFhHa0t05EHKntWx5Tfix4fzcmDUhH1QKm4KcVKPF2dejSWP/OTEMkjh7kEmaxjAIFVz9QlA7ALq7Acp7fyddbKR8mBl73BYUj63h1ofBqXQNgf/5ZjtTd6dRd6WIK47Kt15P1ALe4dIFv1eziStit/eSWe8DRUNYMiwaFeVXr01rMx5Re593p652TZ6julnUnNgmGMpB4bS1HROUk9JXE9/3+IdgCE5r+fujjkwSNVUEZGXUASppbyZa9qkS7uKzjrZXEyx3lz2j+hE0c/F1is2TbxZuNjDZnxGAUrteFVz+Lr9TcbFaJN5WSvKzdxi5BaVoqxcsNjsWSpbHvisNQUvLa/AkeuGiZku3shFWUVlM/iOLeqb/a2lrOm2Euunn1VQgrNJOThu1GSyokKwu5l+Sk6xTTeUB66koaS8AkO6tLRreY4SICC3qNRsUi9rCi387kyibf2X9cVnWu7GcUZv6FRr+2BS1TEhCILFvt72KC03X9dix1FmfgkEAM3qm+awuJlThFaN6hp8lltUikspeQht28hqWQpLypFpIQmcuctSZkEpsu1MjguIBxqNEzXmFRvO39J2M6ewpBzXUvPQsUV93UhS+6/I12f8elo+6vh4iTZrVpJ2S11LzcP1tHyDc2aMyP58QiSJpa3yzSR21coqsH9/sXR/VFZegcSsQnh7adCiQR3d57YE32LS802WoR3lyJ5rSklZBdYdiTf4LDouC7fU9kHTerXw0Xb7hpK/54t9mDvKNK+HBhocvpaO8goBAzu3MPguq6AEh42up87oRgUA+cVlyCsu03X5OePAcNW2iM8ocFp3qb9PiuexuJySi2IHRsICKpOdFpdV7r97Lhq2ZJW6+1q791q05YKdpTNN3FlQUobouCzcbrSPyXnfZc88vTy8CQYDGKRqaskhYM2Ocyl492/rmaUtZV1Xcl1PmsnI/9XuKyaf3SsxezQADPpgN+rX9ra5PK/8aposyR7lFQKi4zJx/zem2dDFLP/3OracTkZStuN9BwVBkDUoFTRvi8lnIxfv1f3b0oOZcb95R1wT6cPd850dotN+FWm6/9jifLL0m69HllVmTX99jLQEdXLR9uG/lJKHuxfvQ2JWIXq1b2LzfCxlff/nfIrdZbOWAPSeL6qP5wNXLQcO3/7rHKbe3hHrj8bLngTWUvBE7Kb1tncr97mYRWNMgo1939uJmEVjDD6L+GQvbuQUYVS3NlZb9kxacRhHY6qDcWL3zOYeHnu8vd3ivC0RK9WM1ccM/t521r59Qd/oz/cBADq3aoArN6UFd6U6k5htsE9Z48p3FNplXUvLx7CPIg32kaEfRZpM/39fio80YYv7jOZhfJl/cpX9SXctbbpFWy5g2b+VIwINu7U6qGtLPWtzhuh7oqq89gzluepgjMln3+69hm/3XrN5XvrOJObozv/6NBrgoaWHAMDkfCB2j2Hv8KTWPPjtQZzVS6KZX1KOxKxC+DW5RdZrs7FBH+zW/Vvuw2zu7+Ln/4hP94p+bgtLgazzyTmq617T9c1tAIDdLw91+rJsCni6x+OT3diFhFTtsAPJ2+yRX1KOzacNI8tHY60PR/R15FWTi1/Pd7YjObsQydmFJsMpCahMbCYIAhKrksz9bqYVhJK02bkdkW/nG2k5pOUVW83sb0yO4IWOC4NSZ23MMu4K+g+B9rCnFYyzbkKlcKTVTpQTEn45qwXbKRmGanV196AbOZXH9a4L1s9p1vZbV3YhcWYuHW3wQk6xIsOlqofrn3z0k3YKgm0Bm9LyCqTkWLgeWZiXfjByt95b7PIK5YaQdcYbaXtZG2ZTTmLX5oyqEUkyzTyQqqL1sQqVShwCWYnupzfkvHeUgYfHL9gCg9TN0aZo9njGaOgje4f1yiooxYCFuwAAbRrVxaG5I3Tf/Xg4Ds+sPW738ICuYssDmRoby/R7byc+uL+70sWosZTYJ5TMT6A2Nyw9/LgRtZ1bnLWLqW097aGmPALG3O3UMP/Ps1h7OM7s9/aszv4rtr0Ucrdtps8DDiciu7lLC3Z7sQUGkQsYP0gcials1aHm4AU5zrMvH9Ypsf5quGar5Z4/Pc9Zbxkd38hKPejq7x+iw0SKrJtYEk9nlF4N+66jXDnMsqez1nWMb+lJKg84tQCQ3rJCiXOp2s5lnlLn5jCAQUTkBOq6lCnD0TcA9vya9/TVSiQ2t7WVs5qh6zfr1k9qWlhiuLxsCf2A0/LM9y3PKar8fVFpuUnyVLGbUOPPBJgm13TUzZwi5BUr193OElua29tz+FlKYCtFbLq0boImQ9C6+GQhCHKP5GOf5f9eR3J2Ib6KvGK1m66jW+jXYwm6RJKuPjf/fUo80SQAs8ktN1n4jVS5RdbPT2UVFcguLNXlUDImd1esEgVaMzvDjZwiq7maAKDMGeP8WiHluiS3CgvrWe7hN0PsQkJEsvD0aC/ZztF9wl3fSKul2A9ITF5rKzlajonlKtFPBqtN0gmYBiN6vFOdKNNcPo7wBf+Ifq4/Ks7wj/eYfP/FTtPEs8Z9mwVBwJTvj4rO315939sp6/zkZC5JrxhbgwKCAIS9vc3WIhkY8mGk5GXp+zkqXnxCJ5FjZCt9ljb1uWTzOZHe/fucpKTjcnj5l5MATJNoukK6hcTAOUXi+Thm/nhc9HNbhM23nsj3vq8OWPx+6g/ynl/Ekpy6oxPxWXjMQsJrrVnrol1QGkNPr3V837HVR9svYvbdwaLfzdZLVJtXXIYGdTzrkZ8tMIgUoJYHHHIe1rEyAQg1BD08+72HPM4myTOU4AUbRqqRolCkZYVxF0APf7HlENu7kMDsW2i5Gbek2XtZvqFjJZdBxlVVW5N1InKtrWduSJouz0zAzp0xgEFEsvD0hEG2EqCOh2llObYBPH0c85pMiSzxclGgdbLb4EO167gikCZnNxuezolILgxgEBE5iTs/pMmBN6zkbBzpRl3UvGmMy+buSYbVvK2JSD088V6MAQwiBXjiyUS1FLzJk1rPnphN3lJyKcnzsGO7OCm/pE1sLbYc28rdyJVgTErLL0ePL+Pq8cDDVTa27sqeeO6zxJbVVcOmkasIgiDI1nLJnn2mpu1nVDPU5L3aszJ6EKnYin+vK10Ep5I7QZlcZv92yvpEzmDDlaXja5udVw6FBM51fJ30Ey5KtfWstD6hznQiPsum6eXYVu7m68irssxHSnZ9R4+vvZdSDf5etOW8Q/PzZNqkjVJJSXgoFzXc7P9wIEbytDdzzY+kA7jmmvvCTydkmY+c1zh75vXkqijZlk+kFtfTpI3ANPqzfTj2RoSTS+NabIFB5CLvuCjrN6kHX/oQOVdBieuTk51MkCcBKbmW8Vt45m2yztJQpO7kn/M3lS4CkWIsjcjjrtgCg0gB9rxZJvey6XQyNp32jJs/IrXiQyhJ9d/1J5QuAhERyYAtMIiIiMgtMXxB9uK+Q0TknhjAICIiIiIiIiLVYwCDiIiI3BJzC5G9/jyZpHQRiIgcEjBnk9JFUAQDGERERERERESkegxgEBEREREREZHqMYBBRERERERERKrHAAYRERERERERqR4DGERERCRJTU0YRkREROrAAAYRERERERERqR4DGE4gCILSRSAiIiIiIiLyKAxgEBEREREREZHqMYBBRERERERERKrHAIYTsAcJERERERERkbwYwCAiIiIiIiIi1WMAg4iIiIiIiIhUjwEMJ2APEiIiIiIiIiJ5MYBBRERERERERKrn4+oFBgQEoGHDhvD29oaPjw+ioqJcXQQiIiIiIiIicjMuD2AAwO7du9GiRQslFu0SAochISIiIiIiIpIVu5A4QW5RmdJFICIiIiIiIvIoLg9gaDQa3HXXXejduzeWLl1q8v3SpUsRHh6O8PBwpKamurp4snj9jzNKF4GIiIiIiIjIo7i8C8m///4LPz8/3Lx5ExEREQgODsbgwYN138+YMQMzZswAAISHh7u6eLIQOA4JERERERERkaxc3gLDz88PANCqVSvcd999OHLkiKuL4HQajUbpIhARERERERF5FJcGMPLz85Gbm6v79/bt29GtWzdXFsElvBjAICIiIiIiIpKVS7uQpKSk4L777gMAlJWV4ZFHHsHdd9/tyiK4hBfjF0RERERERESycmkAIzAwECdPnnTlIhXB+AURERERERGRvDiMqhN4sQkGERERERERkawYwHACb+bAICIiIiIiIpIVAxhOwCSeRERERERERPJiAMMJSisqlC4CERERERERkUdhAMMJNhxPVLoIRERERERERB6FAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIyAm6+zdWuggehQEMIiIiIiIiIifo3LKB0kXwKAxgEBERERERETmDRukCeBYGMIiIiIiIiIicQVC6AJ6FAQwiIiIiIiIiUj0GMIiIJGhY10fpIhARERGRm2nZqI7SRfAoDGAQEREREREROUFP/yaKLfvw3BGKLdtZGMAgIpKA+ZeIiIiIyJ20blRX6SLIjgEMIiIJNBqGMIiIiIiIlMQABhEREREREZETcBASeTGAQUQkQbP6tZUuAhERERG5GYERDFkxgOEE62f01/17zytD8eH93fHq3cH45rHeeOverg7Nu46P5Spr2dAwy23vDk0dWp5U9Wp745Za3hanadXQeRl41z3ZH58/fJvT5q8V3qEp/jMkUPd3c72H2qb1ajl9+Vq92jfB+xPC0PiW6mX+Z3CghV/I7/bOzV26PFf24PD2Ml1Y/8Bmsi7Dx0uDAYH2bcPb2jeRrRx+TW6RbV62mDygg0uXt+35waKf3xnSGn0CmmLVtL7o1b4JTr51l931QqQ1d3SwYsse1a2N7t+uvC65ilLnLCLyfK46v3w/pY9LlvP3c3e4ZDmuxgCGE/QPbI5LC0bhwrt3o0Pz+nggvB2eHtoJd3drg6m3d5Q0j5Nv3WUQfIhZNAYxi8bg4oJRJtPGLBqDBf/XDQAQ0bW1wee/PT3QwbWpNjy4le7fq6f3RcyiMbq/z71zN86/ezdiFo3BrpeGmJQvZtEYHJl3p03LWzO9H564oyOuvTfa4PMQ30YGywaAAZ2aY2yPtgYPmTGLxqB2VcCntrf4rn5Vb97acrZrZnjy0l/Wr08PxGujQnR/v6kXkIp+8y6Tchnr2a6Jxe+1y9s3e5jF7zc8czse6tMeE/u2033+2ugQs78BqoNf+kGXe3u0NZnum8d6YeW0vgCAQUEtEPnyUN13r4+pXsbaJ/ojZtEYPNa/PQDgnXGhomXV3yaOnEivLxyDzq0aAADa6CUk2q1XPjFPDjI95rTl0pZd30cP9MDV90brpvnffd0kl/GWWt4Y17Nym44J8wUA3BnSCs8O6wyg8vh8KLwdri8cjSvvjca6Gf0N6gOovnjq7wO/PzNQtw9fePdu/P7M7SbbVoox3X0Rs2gM3q2qq8f6t8e/rw7DmbdH4uf/DMC/r1Yvc57R/nRnSCtI0SdAWtB09t3B8PbSGOxTWsFtGpr93awRQSafWdsWbRrVxa1G89Qu48Fwf/zy1EAM7tISG565HY1vqYV1M/rj5Jt3YUiXlgCASRaCLZaWHbNoDL7QC6xqpz0wZzhqeVcGyT6b2BMnq84d2v92Gp1D5fB/PU2PdXKeGYM7Kbbs9s3qAQDmjApG9Jt3KVYOZxnn4ftyvdqWXwYRkfOMDmtjfSI7CHqdSKbeHoBhwdLuqRzV1ENbDzOA4SS1fbxQ10qLBIsE4OvHetkyudN98fBtGBnaGi0b1kEPCw/ilpId/vb0AMnLuyOoBV6/pyu8jN6Gi7wcN0v7kOLjLf4jsTftq6b1E31I0vf00E6oX9tb1yRsrEggwJwOzetZnaZds3q6h0xL6voY7mPv/l83zBkl/uavV/umiFk0Bj/9p7oOaumt/+AuLTEiuBWGdGmF29o3QetGdfD8nV0Q0KK+bpom9UxPhJqq8TkEAegb0AyDqx76xOqpm19jk89seRAXqja4La0xLO2PC/4vzIYgn/h89FsSdPNrhNs7tQAA3QNzhd7BGebXGO/f392gTMbHrlfVWVm/uWGjW2rJMwyKyIlCo9GgQR0f9O3YDP5NK/fN2j5euKeHL5rXr23zG9wQ30a6f9fSO+7E6vjqe6PxxCDTlkODglqIznvmsE7wt/B2xFzLiV+ekn7e0WpcrxaG3lq5L+tv+hYNbLsZCGrdwOSztk1uwZ0hlcHmkaFt0NhoGzujsRGT0NYcbKns3nikEinH07p6CJ62QlUYwFDAU0MM38wENK+He3u0NXnT26iu7U0/xS58cjX1r1/HB98+Ho6j8+60WDZLF982jSsfPqw9BFhqgeBVdSP+45P9MDqsDRaODzP5zrgsHz/QA9PvkNb6pWOL+ngxoovFaV69Oxhn37m7ejkS7zg0GuCOzoYPZ189Kh6oenxAgNX5+TU1fJh7vH8Hk/1LS9vFRr+sI/WaGrdreguWT+mDW2p7o1HdWjg8906DVkA+XhqMv83PZL59Ola2egnxbYSfnxqAVdP64sWILvhLr7XF8TciZBmHWnsa1t/cct/s2Tq/t8dVH7fLJvfBA+H+OPb6nejmV/kgb+vFQ7sPV+j9rlPLBlg5tS/GdPc16UbWN0B61xZBwqPNpll34N/Zw+Db+BYceyMCHasCWFJXw0ujwcLxYZjQyx9H5ppvdSVldrW8Nejh3xhNqh7wR4f54oFwf/wwtY9BywYtsWABUBkQNPZov8rWN90tjM2uXWdzD//6LXhmVHXhMg6+BLep3A8GdjI8D3/6UE/semmIY4FuG/ChqObx1Dr3zNvxapaCjZ1a1jf7HRGRMQ+NX8BH6QLURHNGBePeHr4Y8/m/qFfbG38+dwca1a2FrWeSddPUqeVl9qH4sf7t0d2/CWb/esrkO7H9dMWUPrj19a2i82pevzbS80sMPhsT5otrafk4n5wjeZ30WXqY92tyC47MG4G/Tybjnb/P4b7b/PB7dKLu+w8mdMfo7r5oUEd812xYxwcv3VUZXBjYqQUGdjJ8WKhlpquIb5Nb8EaYL67czMOeS6mS1uPD+7uLthhwlHEdja7qaiBm9fS+KCgpx39WHxP93tx2MhbatpEuP4q2eto1uwUjQ6sDGJbOcSumhKNzy4a61jB1a1Vv57E92qJ/x2Zopdetw7gFi34CzH2zh2Hn+RTM/+uc1XL3D2yGbx8LR3ZhqcHnUt4mP9a/PdYdiccDvf0xoFNzTP3+qOh0gS0MbwiN67xdVauELq0bYNdLQyAA2HA8AV/uvmoyL21OkuYN6lS3TNEvt9VSGwYwjugFfQZ0ao4BnUyDkT8/NQABczZJmLPehUyjMfxbT2hbw/XXbmtbroEP922Ph/uads+R4p8XB+Ono/EAgFdG3iraFH/orZVNL59bF23w+ZgwX6w6GCtpOUNvbYWYRQEWp9Ff56jX70RpeQWiYjLx1p9ncWDOcINgkjZQNSioBfZdTjOYz9X3RpvUfd1a3ghsKR5wcUZrCSahrRl8G9fVnYca2vESxB3Y83LHnfg3vQUXbuSKfterfVNcTc13cYmIao42jetan8gO9WtX3683ucV112NzLdDdHVtgKET7cNO+WT3dxVj7MBHathHq1vKGj5d49Sz4vzA8GN4O++cMx8aZt1tdVh29bgbGiQjH9fQzCDj4eGnw/v3dseW/g2xZHQMaK49prRrW1XWjuK19E1xaMApH592Jn/8zAA/2aSf6UB758lBsmnUHTr89UvfwIkabT+A1o24U2oeLldP6mjRlDzMTpHggvJ1Bc3glDApqiZGhbXBxwd2i398d2gZjwnwtdoO4/L9R+PNZ09wTxvuXpSjt8ODWaF9VZ9881hvbnzfso68fvLCmXbN6mHJ7RzwU3k7X3cSSxvVq6ZYtRr/VzV1dW+PZYZ2x+KGeeHtsN1x9bzSCWpvPpwBU9g/U9hnf/sJgk1wJg7u0xB8zb8eUgQEIbNkAnVo20O0zyyeHA6hMIvuX0TbuVPVweldXaUEiLe3aVAiV21XKttV/K1e3lhei34jQ/X1c799aD/T2x4Ph/nj5rlsllEg+fz5r/XzVuVVDXauIW9tYPv76BzbDq3dLT5bYsYVtby+15w0vjQYtGtSBb+NbcG+Ptjj+RgTq1vI2CDR0bFFZ3+2b1cPp+Xfh5FvVuQe8vTQmXeEssfV2o3UjwwTJr94djH9erD5Gl08Ox8sjTeta240loHk9u/Nu3N65Oeob9dkfGVo53zFhvnh7bChGhrbGRw/0MPntqqpcOwAMzgXG85MioHk9Xa4ZALoWUGKMz5fanDqP9DMfdJs1IgjfTQo3yYfSplFddPdvjCkDA/DuuFA8NaQTVk+vXK+3xxp2A2xY1/TaZqlLoVhLxckDOuCLh29Ds/q1dck6p93eETOHdUJgy/rY9dJQPDkoEO+OC8VDfSpzJOknuB5uQ7/r/44IQquGdQy263eTKs95fQOa4c17uuLdcaFY+0Q/yfPU10bCue3+3v5ofEstdGndAI/374BBQS3wxKCO2Pb8YNzboy0+uL+7btpbWzfEf4YE4vk7g9DDv7HVrqDG+nVspsuvoc0ndlv7JhgZ2tok6bC3l0bX6mrFlHDd54/0ay+5taeYd8eF4s9n78CYMMPWdj9M7YM/Zt6OBfd1w9eP9jK4T/rPkEBMGRhgdyJz7bymDAwAUHk+eW1UMF6M6KJ78XFpwSj0rWptGdSqOvC6b/YwvHBnF7Q1eugzl3fMkkkDOuCh8Oq8XtNu74hDr43AwdeGo15tb/g3vUV3jN7WvgneuMc0Kf6jFo5hAAjUu1bq51qaMTgQXz/aC08O6mjQuu+ZoZ0MjlvtNpDT5lmD0K7ZLaJ5xD6b2BNA5fbUnlf/MyTQYL83x6/JLaI5wL6f0geNqtbp7+fuwN2hbdC8fm38UfU8oW1p26ReLfykNygBUPl8YuncalzvdXy8MPTWlrgzpDX+mHk7Xhl5K5Y8chveurcrNjwzEM8N74wfn+iHdU/2x6LxYRjTvfqF3sSq81ejuj66PH/mGOcS09IOqtCzXRN8+Ugv3fyWTQrHm/d0Rb3a3ngxogu2vzAY+2YPw6zhnTH19o74/ZmB+M+QQN18bxW5j/xQQh0Alefxbx7rhaG3tsS740Ixd3Qwnh5a+WJmy38HYUiXlhh6a0vRfGD6/nz2dkR0bW3QNdccbavVPgFN4dvYM5MeswWGQjq1qo9ufo3w5j3VJyxt8+fJVV0HxPIz6PNrcotJtlxru3Vbox25Y4vqm6eBnZrjxyerT1b33eaHML/GeOdv82/Kn78zCD9XvS3ValLf+tuRESGt8dvTA9CrfVNoNBq0bFjHZAQVfQESHzzCA5phQ3RiddcHCW8y/3Jyht47Q1rhn/M3AQBd7QyI1PHxRp+Apjgak2nwuZeXBl+a6YKiZdwqJaB5fTzSr73uZmXmsE74cvdV3QXNmru7yZPg6H0zJ/+GdXyQW1wm+t3//i8M/9t8Du2a1kNiViEAGCRdreXjJfqgZo12NzF302WcfPXubr7YN3uYrmuCWMuI9s3r4dw7I3FLLW98suOS2WU/OSgQ72+9gB+f6Ic9l1Pxz7mUqm+kt3n4331hmLj0EACgXm0fg6RNzerXxvx7u2L+X+d0bxbq1vLGB/ebPlCK0d5ES8ndAlg+5Lr7N8Gul4Zgx7kU0UCl9kbx3h5t0bNdE9GuH/rWzzDMbaEfUPjnxcG485O9Bt/vfnko5v5+Gj8ejpPceqlyvtanebhvO9zapgF6d3D8BrdR1Rv0R/u1x//uq+4iF5uejyEfRqJ9s3rYq9fNThAEHIvNRO8OTQ22gXGwNmbRGPx5Mgmz1kVjTHdf3Q2duekBIGDOJnTza4S/nzMf1H5yVRR2nEvBN4/1Fj0/TK4614wOa4P84nKDc72tiWi1ZQKA6DcicNu7O9D4llqIfKVye0g9/s0t9z297S0momtrvDNOWmLfyQMDdOvuKO06a7usiSVgfmVkdTBPvwvi2B5tDfI0vbf5PEaGtja7r2qX9UJEF7xQ1Z1Sf7uKbbuYRWOQnleMurW8Ud/MsfXJ9ov4fNcVAMCi8WGYqNdKq7isHJn5pZLfft7apqHuQfNBvYderefvrCy3ue6gN3OKMHHpIayc1tfkPPPZRPFAwNsi9T63Ktmx8TY5GZ+FqNhM7H1lGPZcTsVt7ZqYtO7LKy7DhK8O4OMHe+CeL/4FUF1vlq7ro8J8McpMy80+AU0xYOEuAJXXrT9m3q6rz5hFYwz+LWa+UdBNPwj083/Ecwn9984g/PdO88GiOb+dwvqj8Vg4Pky0Zd7uCzcRHtBU12JI7N7gnF6XXf1jdPodHXXrpL0m/8/KMaxP+1ttPWq36zt/n0NqbjGmDAzAbAtBckvb9v++3I8T8VnY8MxA9GrfFAeupiGoVUP0+d8/BtNVln145WdpBVix/zpeHxOCR/q1R73aPhjX07TrLiC+32cVlKDnOzswa0SQbt+fN8Y00HNq/kjdv795vLfu39oyffJQT5PP9A37KBLX0/Kx86Uh2Hk+Be9tvgAA8G92C66l5qPxLbUMgvhaxvdSvdpXd1Me0Kk5JvZtjy8fqf5+0YTqfeGx/h2w8UQi/rv+BPbNHoZBH+xGiwa1EfW66UsaffrlH9PdcF2mGQUbX6x6qXNb+6a4rX1Tg6T9Yh4QqQNLjLuGh/g20iXNB4AFm86blFmfNoAs5nRCNrIKSzAoyPqLQU/g8gDG1q1b8d///hfl5eV44oknMGfOHFcXQRXq+Hib3BB2btUQp+ffZdLsc3wv8ZOXvk5VD/jmujzsfGkIcovKEOLbEAmZhfhuUjgu3MhB347N8MbGswAqR/3Q92nVCWzIrS2RWyT+QPn8nV10NwpajerWwpm3R6LbW9ssllmOG31jj/Rrj36BzXRvvyf2aYeT8VlWH4TsNTK0DUZ1ayOaOPPhvu2w7kg8Fk3ojvAFlResN+/tim8ir5lMqx/kMGfVtH7IKiyxOI3W4C4tsfdSKlo0MA0KeXlpDG4AXoy4FU3r1cZj/V07rKWxzx++Dd3aNsLV1Hy8/MtJZBeW6t4Qaw3o1Bx/PzcIOUWl6NexGSYPDLC5ub3YCBdfP9oby/+9btN+ImXaelVNBrXBSLGg5NNDO+mi8QM7t8ClG7m4mpqP2t7S30L3D2yue5ibLfIAN3lgAFo0rGMwSpFUnzzYE6sPxeCliFvx/f4Y3ec/TO2Drr6N0Pe9nQbTi7XA0u9yFNiyAf4zxLDrRN+AZjgSk4Eleg/UjhyzfQKaonOrhri0YJRBLhGg8q3400M6ScrM/WCfdjgak6GrH0s0Go1s57Rm9Wtj3+xhJg9z7ZrWw/29/TH19gCTZYdLzIWiHe66ocQAzuG5I0RbDujTdlmwNsx3vdo+umPCEXtfGYaU3CJdYMlTk5Q5y1wrI1bZq7nI9UaftpZeuLOLQfACqLwnatPYdaNvtGpUF7usjGDliK8f640d51LQvnk9PN5c/NraoI4Ptr0gPryzHMzl13I1bbBY/zqgT67RGOy5Zqx9oh9uZBfZvcxtzw9GaXkFgMqWbq31WhV9/GAPfL7zsq7FpnGXZzGTBnTAtrM3cG+PtnadK5vUq40zb49EPSfnVtK/yk/s214XwHh/Qndk5JcYdE+W07iefhjX0w9FpeUAIHlkx5ogzF/+Lu9q5tIARnl5OWbOnIkdO3bA398fffr0wdixY9G1q2l0sKYyDl5IfTs1sHML/PPiYHRq2QCvbTitGz5Uq5NeX+ufqzLy9zPK2G/uObCTmX7aljSo44NfnxqAPDNv0p1Jv7yO9MXXV8fHC8VlFSaf31LbG18/1lvkF8DC8d2xcHx3FJZUnmj7dWyGOj7eeGZYJ7Rrdgte+fUUyquGqFg2uY/VPAa31PbGLbWlNQX76tFe6PbWNpNmr2K8vTSiI0G4mvYNYWDLBjj51l3IKijRPRgZa1S3FqbYcOHSH51CbIi6rm0b4eMHpbVIsMeMwYHIKijFNAllXjzxNhy4kmax24yYpvVrG5wvWjeqg5ScYgCVD7j3dLdv6ME2jevq3uz+MLUP0vJKcH9vf5PpJg3ogFUHY03OI+ffudtqC4anhgbiyA8ZdrdQ0gqo2mbje1WWz/g8CFS2SJJ6o9uobi18+7j5Nx7OJFZGLy+NaFcMW4wIboW5o4PxSD9pAcvWEpr5v3VvV3Rp3UA3aouztW9eD+2b10N2Qan1iT2EPS1VHGGtKb49HujdDj8ejpP0UsbdtWxYx2KXJGOH545ATqHj+3PrhnUxtkdbTLujI9rqtdDtopfg+G4nPVya89Jdt6JFwzoY28M59b5iimmeLKlu7yweVHi8fwd8suOS1Twy+l1ORxi9cOnUsoFoa56XIrqYPa8GtKiP/XOGWyu2Rba0LrRXsG9DXEvLR72qpO9b/jsIn++8jJ7tmpjNRSenurW8XX5OJHXRCC58dXHw4EHMnz8f27ZVvplfuHAhAOC1114TnT48PBxRUVGuKp7H+DkqHr07NJUceNhwPAGf7byMyJeH1pih9vZeSoW3l8bsxctYfEYBrqXlY4iEnA03c4rg7aUxeBt1LDYDQa0bGiQfy8wvQXFZhe4t64n4LPh4aZySONTT7b2Uihd+OoENzwxEh+bi3Y3iMwow6IPdOPP2SJdc4JWWnF2Ic0k5JjdVcjublI0WDergdEI2nlgVhQ8mdMeDfWxrVklkj+Kyctz6+lY8PbSTTblQiGqS+IwCNKlXCw3r1kJ2QSnq1fF2yUMmea6CkjKcTsg2eRFKjgl5YysKS8sZnNFjLhbg0gDGr7/+iq1bt2LZsmUAgNWrV+Pw4cNYsmSJbpqlS5di6dKlAIDU1FTExkrLKE9ERMo6k5iN0LaNakwglJRXXiHAS+OckVuIiIhcJSWnCDeyi9DDKFdITWYugKG6EOyMGTMQFRWFqKgotGxZMxKREBF5gm5+jfkgSS7l7aXhPkdERG6vdaO6DF5I5NIAhp+fH+Ljq0esSEhIgJ+f5/eFJCIiIiIiIiLHuDSA0adPH1y+fBnXr19HSUkJ1q9fj7Fjx7qyCERERERERETkhlyayc7HxwdLlizByJEjUV5ejmnTpiE0NNT6D4mIiIiIiIioRnN5Kv7Ro0dj9OjRrl4sEREREREREbkx1SXxJCIiIiIiIiIyxgAGEREREREREakeAxhEREREREREpHoMYBARERERERGR6jGAQURERERERESqxwAGEREREREREakeAxhEREREREREpHoMYBARERERERGR6mkEQRCULoQ5LVq0QEBAgNLFIAlSU1PRsmVLpYtBTsQ69nysY8/G+vV8rGPPxzr2fKxjz8b6lS4mJgZpaWkmn6s6gEHuIzw8HFFRUUoXg5yIdez5WMeejfXr+VjHno917PlYx56N9es4diEhIiIiIiIiItVjAIOIiIiIiIiIVI8BDJLFjBkzlC4CORnr2POxjj0b69fzsY49H+vY87GOPRvr13HMgUFEREREREREqscWGERERERERESkegxgEBEREREREZHqMYBBZk2bNg2tWrVCt27ddJ+dPHkSAwYMQFhYGO69917k5OQAAEpKSjB16lSEhYWhR48eiIyMBAAUFBRgzJgxCA4ORmhoKObMmaPEqpAIOepX+92MGTPQpUsXBAcH47fffnP1qpAZ8fHxGDZsGLp27YrQ0FB89tlnAICMjAxEREQgKCgIERERyMzMBAAIgoBZs2ahc+fO6N69O44fP66b18qVKxEUFISgoCCsXLlSkfUhU3LWMQDk5OTA398fzz77rMvXhUzJWb+zZ89GaGgoQkJCMGvWLLAHsTrYWscXLlzAgAEDUKdOHXz00UdW50PKk6uOASArKwv3338/goODERISgoMHD7p8fciQrfW7du1adO/eHWFhYRg4cCBOnjypm9fWrVtx6623onPnzli0aJEi6+MWBCIz9uzZIxw7dkwIDQ3VfRYeHi5ERkYKgiAIy5cvF15//XVBEARhyZIlwpQpUwRBEISUlBShV69eQnl5uZCfny/s2rVLEARBKC4uFu644w5h8+bNLl4TEiNH/QqCILz55pvCvHnzBEEQhPLyciE1NdWVq0EWJCUlCceOHRMEQRBycnKEoKAg4ezZs8Irr7wiLFy4UBAEQVi4cKEwe/ZsQRAEYdOmTcLdd98tVFRUCAcPHhT69u0rCIIgpKenCx07dhTS09OFjIwMoWPHjkJGRoYyK0UG5KpjrVmzZgkPP/ywMHPmTNeuCImSq373798vDBw4UCgrKxPKysqE/v37C7t371ZknciQrXWckpIiHDlyRJg7d67w4YcfWp0PKU+uOhYEQZg0aZLw3XffCYJQeV+dmZnpuhUhUbbW7/79+3X3UJs3b9adp8vKyoTAwEDh6tWrQnFxsdC9e3cew2awBQaZNXjwYDRr1szgs0uXLmHw4MEAgIiICN3b9nPnzmH48OEAgFatWqFJkyaIiopCvXr1MGzYMABA7dq10atXLyQkJLhwLcgcOeoXAFasWIHXXnsNAODl5YUWLVq4ahXICl9fX/Tq1QsA0LBhQ4SEhCAxMREbN27E5MmTAQCTJ0/GH3/8AQDYuHEjJk2aBI1Gg/79+yMrKwvJycnYtm0bIiIi0KxZMzRt2hQRERHYunWrUqtFeuSqYwA4duwYUlJScNdddymyLmRKrvrVaDQoKipCSUkJiouLUVpaitatWyu1WqTH1jpu1aoV+vTpg1q1akmaDylPrjrOzs7G3r17MX36dACV99VNmjRx2XqQOFvrd+DAgWjatCkAoH///rrnoiNHjqBz584IDAxE7dq1MXHiRGzcuNH1K+QGGMAgm4SGhuoOpl9++QXx8fEAgB49euDPP/9EWVkZrl+/jmPHjum+08rKysJff/2FESNGuLzcJI2t9ZuVlQUAeOONN9CrVy888MADSElJUar4ZEFMTAyio6PRr18/pKSkwNfXFwDQpk0bXZ0lJiaiXbt2ut/4+/sjMTHR7OekLo7UcUVFBV566SWT5sqkHo7U74ABAzBs2DD4+vrC19cXI0eOREhIiCLrQeZJqWNb50Pq4kgdX79+HS1btsTUqVNx22234YknnkB+fr4rik0S2Vq/y5cvx6hRowCYP3+TKQYwyCYrVqzAV199hd69eyM3Nxe1a9cGUJlPwd/fH+Hh4Xj++ecxcOBAeHt7635XVlaGhx9+GLNmzUJgYKBSxScrbK3fsrIyJCQkYODAgTh+/DgGDBiAl19+WeG1IGN5eXmYMGECFi9ejEaNGhl8p9FooNFoFCoZycXROv7qq68wevRo+Pv7O7OYZCdH6/fKlSs4f/48EhISkJiYiF27dmHfvn3OLDLZSK7ztKX5kLIcreOysjIcP34cTz/9NKKjo1G/fn3mSVARW+t39+7dWL58Od5//31XFtMj+ChdAHIvwcHB2L59O4DK7gabNm0CAPj4+ODTTz/VTTdw4EB06dJF9/eMGTMQFBSE559/3qXlJdvYWr/NmzdHvXr1MH78eADAAw88gOXLl7u+4GRWaWkpJkyYgEcffVRXT61bt0ZycjJ8fX2RnJyMVq1aAQD8/PwMWk4lJCTAz88Pfn5+BolbExISMHToUFeuBlkgRx0fPHgQ+/btw1dffYW8vDyUlJSgQYMGvDlWATnqd82aNejfvz8aNGgAABg1ahQOHjyIQYMGuX6FyIQtdWzrfEgd5Khjf39/+Pv761rW3H///TxHq4St9Xvq1Ck88cQT2LJlC5o3bw7A/PmbTLEFBtnk5s2bAICKigosWLAATz31FIDK0Ua0zdh27NgBHx8fdO3aFQDw+uuvIzs7G4sXL1akzCSdrfWr0Whw77336h5ud+7cqat3Up4gCJg+fTpCQkLw4osv6j4fO3asbiSRlStXYty4cbrPV61aBUEQcOjQITRu3FjX3Hz79u3IzMxEZmYmtm/fjpEjRyqyTmRIrjpeu3Yt4uLiEBMTg48++giTJk3ijbEKyFW/7du3x549e1BWVobS0lLs2bOHXUhUwtY6tnU+pDy56rhNmzZo164dLl68CID3XGpha/3GxcVh/PjxWL16tcHL3j59+uDy5cu4fv06SkpKsH79eowdO9a1K+MulMoeSuo3ceJEoU2bNoKPj4/g5+cnLFu2TFi8eLEQFBQkBAUFCa+++qpQUVEhCIIgXL9+XejSpYsQHBwsjBgxQoiJiREEQRDi4+MFAEJwcLDQo0cPoUePHrrsyaQsOepXEAQhJiZGGDRokBAWFiYMHz5ciI2NVWqVyMi+ffsEAEJYWJju+Nu0aZOQlpYmDB8+XOjcubMwYsQIIT09XRAEQaioqBCeeeYZITAwUOjWrZtw9OhR3byWL18udOrUSejUqZOwYsUKpVaJjMhZx1rff/89RyFRCbnqt6ysTJgxY4YQHBwshISECC+88IKSq0V6bK3j5ORkwc/PT2jYsKHQuHFjwc/PT8jOzjY7H1KeXHUsCIIQHR0t9O7dWwgLCxPGjRvHEcFUwNb6nT59utCkSRPdtL1799bNa9OmTUJQUJAQGBgoLFiwQKlVUj2NIHAgcCIiIiIiIiJSN3YhISIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUj0GMIiIiIiIiIhI9RjAICIiIiIiIiLVYwCDiIiIiIiIiFSPAQwiIiIiIiIiUr3/B8F9iz6kN07RAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_features = d[features]\n",
    "plot_features.index = d.dt\n",
    "\n",
    "fig, axes = plt.subplots(\n",
    "    nrows=2, \n",
    "    ncols=1, \n",
    "    figsize=(15, 10), \n",
    "    facecolor=\"w\", \n",
    "    edgecolor=\"k\"\n",
    ")\n",
    "\n",
    "for i, feature in enumerate(['pressure', 'wind_speed']):\n",
    "    axes[i % 2].plot(plot_features[feature])\n",
    "    axes[i % 2].set_title(f'{feature} Vilnius - hourly')\n",
    "        \n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daily data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_features = d.groupby('date')[features].mean()\n",
    "\n",
    "fig, axes = plt.subplots(\n",
    "    nrows=2, \n",
    "    ncols=2, \n",
    "    figsize=(15, 10), \n",
    "    facecolor=\"w\", \n",
    "    edgecolor=\"k\"\n",
    ")\n",
    "\n",
    "for i, feature in enumerate(features):\n",
    "    axes[i // 2, i % 2].plot(plot_features[feature])\n",
    "    axes[i // 2, i % 2].set_title(f'{feature} Vilnius - daily')\n",
    "        \n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heatmaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.hist2d(d['pressure'], d['temp'], bins=(50, 50))\n",
    "plt.colorbar()\n",
    "ax = plt.gca()\n",
    "plt.xlabel('Pressure, hPa')\n",
    "plt.ylabel('Temperature, C')\n",
    "ax.axis('tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.hist2d(d['wind_speed'], d['temp'], bins=(50, 50))\n",
    "plt.colorbar()\n",
    "ax = plt.gca()\n",
    "plt.xlabel('Wind speed, m/s')\n",
    "plt.ylabel('Temperature, C')\n",
    "ax.axis('tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extracting the hour of day\n",
    "d['hour'] = [x.hour for x in d['dt']]\n",
    "\n",
    "# Extracting the month of the year \n",
    "d['month'] = [x.month for x in d['dt']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'temp'}, xlabel='hour'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d.boxplot('temp', by='hour', figsize=(12, 8), grid=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'temp'}, xlabel='month'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d.boxplot('temp', by='month', figsize=(12, 8), grid=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating the cyclical daily feature \n",
    "d['day_cos'] = [np.cos(x * (2 * np.pi / 24)) for x in d['hour']]\n",
    "d['day_sin'] = [np.sin(x * (2 * np.pi / 24)) for x in d['hour']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dt</th>\n",
       "      <th>temp</th>\n",
       "      <th>hour</th>\n",
       "      <th>day_sin</th>\n",
       "      <th>day_cos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990-01-01 00:00:00</td>\n",
       "      <td>-7.52</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990-01-01 01:00:00</td>\n",
       "      <td>-7.56</td>\n",
       "      <td>1</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990-01-01 02:00:00</td>\n",
       "      <td>-7.67</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990-01-01 03:00:00</td>\n",
       "      <td>-7.74</td>\n",
       "      <td>3</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990-01-01 04:00:00</td>\n",
       "      <td>-7.66</td>\n",
       "      <td>4</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1990-01-01 05:00:00</td>\n",
       "      <td>-7.08</td>\n",
       "      <td>5</td>\n",
       "      <td>0.966</td>\n",
       "      <td>0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1990-01-01 06:00:00</td>\n",
       "      <td>-7.01</td>\n",
       "      <td>6</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1990-01-01 07:00:00</td>\n",
       "      <td>-6.93</td>\n",
       "      <td>7</td>\n",
       "      <td>0.966</td>\n",
       "      <td>-0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1990-01-01 08:00:00</td>\n",
       "      <td>-6.32</td>\n",
       "      <td>8</td>\n",
       "      <td>0.866</td>\n",
       "      <td>-0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1990-01-01 09:00:00</td>\n",
       "      <td>-6.07</td>\n",
       "      <td>9</td>\n",
       "      <td>0.707</td>\n",
       "      <td>-0.707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1990-01-01 10:00:00</td>\n",
       "      <td>-5.44</td>\n",
       "      <td>10</td>\n",
       "      <td>0.500</td>\n",
       "      <td>-0.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1990-01-01 11:00:00</td>\n",
       "      <td>-5.31</td>\n",
       "      <td>11</td>\n",
       "      <td>0.259</td>\n",
       "      <td>-0.966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1990-01-01 12:00:00</td>\n",
       "      <td>-5.27</td>\n",
       "      <td>12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1990-01-01 13:00:00</td>\n",
       "      <td>-5.23</td>\n",
       "      <td>13</td>\n",
       "      <td>-0.259</td>\n",
       "      <td>-0.966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1990-01-01 14:00:00</td>\n",
       "      <td>-4.96</td>\n",
       "      <td>14</td>\n",
       "      <td>-0.500</td>\n",
       "      <td>-0.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1990-01-01 15:00:00</td>\n",
       "      <td>-4.97</td>\n",
       "      <td>15</td>\n",
       "      <td>-0.707</td>\n",
       "      <td>-0.707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1990-01-01 16:00:00</td>\n",
       "      <td>-4.89</td>\n",
       "      <td>16</td>\n",
       "      <td>-0.866</td>\n",
       "      <td>-0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1990-01-01 17:00:00</td>\n",
       "      <td>-4.53</td>\n",
       "      <td>17</td>\n",
       "      <td>-0.966</td>\n",
       "      <td>-0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1990-01-01 18:00:00</td>\n",
       "      <td>-4.54</td>\n",
       "      <td>18</td>\n",
       "      <td>-1.000</td>\n",
       "      <td>-0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1990-01-01 19:00:00</td>\n",
       "      <td>-4.46</td>\n",
       "      <td>19</td>\n",
       "      <td>-0.966</td>\n",
       "      <td>0.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1990-01-01 20:00:00</td>\n",
       "      <td>-4.01</td>\n",
       "      <td>20</td>\n",
       "      <td>-0.866</td>\n",
       "      <td>0.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1990-01-01 21:00:00</td>\n",
       "      <td>-3.97</td>\n",
       "      <td>21</td>\n",
       "      <td>-0.707</td>\n",
       "      <td>0.707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1990-01-01 22:00:00</td>\n",
       "      <td>-3.87</td>\n",
       "      <td>22</td>\n",
       "      <td>-0.500</td>\n",
       "      <td>0.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1990-01-01 23:00:00</td>\n",
       "      <td>-3.66</td>\n",
       "      <td>23</td>\n",
       "      <td>-0.259</td>\n",
       "      <td>0.966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1990-01-02 00:00:00</td>\n",
       "      <td>-3.62</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    dt  temp  hour  day_sin  day_cos\n",
       "0  1990-01-01 00:00:00 -7.52     0    0.000    1.000\n",
       "1  1990-01-01 01:00:00 -7.56     1    0.259    0.966\n",
       "2  1990-01-01 02:00:00 -7.67     2    0.500    0.866\n",
       "3  1990-01-01 03:00:00 -7.74     3    0.707    0.707\n",
       "4  1990-01-01 04:00:00 -7.66     4    0.866    0.500\n",
       "5  1990-01-01 05:00:00 -7.08     5    0.966    0.259\n",
       "6  1990-01-01 06:00:00 -7.01     6    1.000    0.000\n",
       "7  1990-01-01 07:00:00 -6.93     7    0.966   -0.259\n",
       "8  1990-01-01 08:00:00 -6.32     8    0.866   -0.500\n",
       "9  1990-01-01 09:00:00 -6.07     9    0.707   -0.707\n",
       "10 1990-01-01 10:00:00 -5.44    10    0.500   -0.866\n",
       "11 1990-01-01 11:00:00 -5.31    11    0.259   -0.966\n",
       "12 1990-01-01 12:00:00 -5.27    12    0.000   -1.000\n",
       "13 1990-01-01 13:00:00 -5.23    13   -0.259   -0.966\n",
       "14 1990-01-01 14:00:00 -4.96    14   -0.500   -0.866\n",
       "15 1990-01-01 15:00:00 -4.97    15   -0.707   -0.707\n",
       "16 1990-01-01 16:00:00 -4.89    16   -0.866   -0.500\n",
       "17 1990-01-01 17:00:00 -4.53    17   -0.966   -0.259\n",
       "18 1990-01-01 18:00:00 -4.54    18   -1.000   -0.000\n",
       "19 1990-01-01 19:00:00 -4.46    19   -0.966    0.259\n",
       "20 1990-01-01 20:00:00 -4.01    20   -0.866    0.500\n",
       "21 1990-01-01 21:00:00 -3.97    21   -0.707    0.707\n",
       "22 1990-01-01 22:00:00 -3.87    22   -0.500    0.866\n",
       "23 1990-01-01 23:00:00 -3.66    23   -0.259    0.966\n",
       "24 1990-01-02 00:00:00 -3.62     0    0.000    1.000"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsin = d[['dt', 'temp', 'hour', 'day_sin', 'day_cos']].head(25).copy()\n",
    "dsin['day_sin'] = [round(x, 3) for x in dsin['day_sin']]\n",
    "dsin['day_cos'] = [round(x, 3) for x in dsin['day_cos']]\n",
    "\n",
    "dsin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ploting the first 25 hours \n",
    "plt.plot(np.array(d['day_cos'])[:25], label='cos')\n",
    "plt.plot(np.array(d['day_sin'])[:25], label='sin')\n",
    "plt.xlabel('Time [h]')\n",
    "plt.title('Time of day signal')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extracting the timestamp from the datetime object \n",
    "d['timestamp'] = [x.timestamp() for x in d['dt']]\n",
    "\n",
    "# Seconds in day \n",
    "s = 24 * 60 * 60 \n",
    "\n",
    "# Seconds in year \n",
    "year = (365.25) * s\n",
    "\n",
    "d['month_cos'] = [np.cos((x) * (2 * np.pi / year)) for x in d['timestamp']]\n",
    "d['month_sin'] = [np.sin((x) * (2 * np.pi / year)) for x in d['timestamp']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ploting the first year\n",
    "plt.plot(np.array(d['month_cos'])[:24 * 365])\n",
    "plt.plot(np.array(d['month_sin'])[:24 * 365])\n",
    "plt.xlabel('Time [h]')\n",
    "plt.title('Time of year signal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single step forecast"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hyper parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Number of lags (hours back) to use for models\n",
    "lag = 48\n",
    "\n",
    "# Steps ahead to forecast \n",
    "n_ahead = 1\n",
    "\n",
    "# Share of obs in testing \n",
    "test_share = 0.1\n",
    "\n",
    "# Epochs for training\n",
    "epochs = 20\n",
    "\n",
    "# Batch size \n",
    "batch_size = 512\n",
    "\n",
    "# Learning rate\n",
    "lr = 0.001\n",
    "\n",
    "# Number of neurons in LSTM layer\n",
    "n_layer = 10\n",
    "\n",
    "# The features used in the modeling \n",
    "features_final = ['temp', 'day_cos', 'day_sin', 'month_sin', 'month_cos', 'pressure', 'wind_speed']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the matrices for training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>day_cos</th>\n",
       "      <th>day_sin</th>\n",
       "      <th>month_sin</th>\n",
       "      <th>month_cos</th>\n",
       "      <th>pressure</th>\n",
       "      <th>wind_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-7.52</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.898587e-15</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1032</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-7.56</td>\n",
       "      <td>9.659258e-01</td>\n",
       "      <td>0.258819</td>\n",
       "      <td>7.167676e-04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1032</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-7.67</td>\n",
       "      <td>8.660254e-01</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.433535e-03</td>\n",
       "      <td>0.999999</td>\n",
       "      <td>1028</td>\n",
       "      <td>2.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-7.74</td>\n",
       "      <td>7.071068e-01</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>2.150301e-03</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>1028</td>\n",
       "      <td>2.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-7.66</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>0.866025</td>\n",
       "      <td>2.867067e-03</td>\n",
       "      <td>0.999996</td>\n",
       "      <td>1028</td>\n",
       "      <td>2.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-7.08</td>\n",
       "      <td>2.588190e-01</td>\n",
       "      <td>0.965926</td>\n",
       "      <td>3.583831e-03</td>\n",
       "      <td>0.999994</td>\n",
       "      <td>1030</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-7.01</td>\n",
       "      <td>6.123234e-17</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.300593e-03</td>\n",
       "      <td>0.999991</td>\n",
       "      <td>1030</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-6.93</td>\n",
       "      <td>-2.588190e-01</td>\n",
       "      <td>0.965926</td>\n",
       "      <td>5.017353e-03</td>\n",
       "      <td>0.999987</td>\n",
       "      <td>1030</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-6.32</td>\n",
       "      <td>-5.000000e-01</td>\n",
       "      <td>0.866025</td>\n",
       "      <td>5.734110e-03</td>\n",
       "      <td>0.999984</td>\n",
       "      <td>1026</td>\n",
       "      <td>2.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-6.07</td>\n",
       "      <td>-7.071068e-01</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>6.450864e-03</td>\n",
       "      <td>0.999979</td>\n",
       "      <td>1026</td>\n",
       "      <td>2.23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   temp       day_cos   day_sin     month_sin  month_cos  pressure  wind_speed\n",
       "0 -7.52  1.000000e+00  0.000000 -4.898587e-15   1.000000      1032        2.00\n",
       "1 -7.56  9.659258e-01  0.258819  7.167676e-04   1.000000      1032        2.00\n",
       "2 -7.67  8.660254e-01  0.500000  1.433535e-03   0.999999      1028        2.08\n",
       "3 -7.74  7.071068e-01  0.707107  2.150301e-03   0.999998      1028        2.18\n",
       "4 -7.66  5.000000e-01  0.866025  2.867067e-03   0.999996      1028        2.12\n",
       "5 -7.08  2.588190e-01  0.965926  3.583831e-03   0.999994      1030        2.00\n",
       "6 -7.01  6.123234e-17  1.000000  4.300593e-03   0.999991      1030        2.00\n",
       "7 -6.93 -2.588190e-01  0.965926  5.017353e-03   0.999987      1030        2.00\n",
       "8 -6.32 -5.000000e-01  0.866025  5.734110e-03   0.999984      1026        2.22\n",
       "9 -6.07 -7.071068e-01  0.707107  6.450864e-03   0.999979      1026        2.23"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[features_final].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Subseting only the needed columns \n",
    "ts = d[features_final]\n",
    "\n",
    "nrows = ts.shape[0]\n",
    "\n",
    "# Spliting into train and test sets\n",
    "train = ts[0:int(nrows * (1 - test_share))]\n",
    "test = ts[int(nrows * (1 - test_share)):]\n",
    "\n",
    "# Scaling the data \n",
    "train_mean = train.mean()\n",
    "train_std = train.std()\n",
    "\n",
    "train = (train - train_mean) / train_std\n",
    "test = (test - train_mean) / train_std\n",
    "\n",
    "# Creating the final scaled frame \n",
    "ts_s = pd.concat([train, test])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "X, Y = create_X_Y(ts_s.values, lag=lag, n_ahead=n_ahead)\n",
    "\n",
    "n_ft = X.shape[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Spliting into train and test sets \n",
    "Xtrain, Ytrain = X[0:int(X.shape[0] * (1 - test_share))], Y[0:int(X.shape[0] * (1 - test_share))]\n",
    "Xval, Yval = X[int(X.shape[0] * (1 - test_share)):], Y[int(X.shape[0] * (1 - test_share)):]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of training data: (243863, 48, 7)\n",
      "Shape of the target data: (243863, 1)\n",
      "Shape of validation data: (27096, 48, 7)\n",
      "Shape of the validation target data: (27096, 1)\n"
     ]
    }
   ],
   "source": [
    "print(f\"Shape of training data: {Xtrain.shape}\")\n",
    "print(f\"Shape of the target data: {Ytrain.shape}\")\n",
    "\n",
    "print(f\"Shape of validation data: {Xval.shape}\")\n",
    "print(f\"Shape of the validation target data: {Yval.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining the model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "class NNMultistepModel():\n",
    "    \n",
    "    def __init__(\n",
    "        self, \n",
    "        X, \n",
    "        Y, \n",
    "        n_outputs,\n",
    "        n_lag,\n",
    "        n_ft,\n",
    "        n_layer,\n",
    "        batch,\n",
    "        epochs, \n",
    "        lr,\n",
    "        Xval=None,\n",
    "        Yval=None,\n",
    "        mask_value=-999.0,\n",
    "        min_delta=0.001,\n",
    "        patience=5\n",
    "    ):\n",
    "        lstm_input = Input(shape=(n_lag, n_ft))\n",
    "\n",
    "        # Series signal \n",
    "        lstm_layer = LSTM(n_layer, activation='relu')(lstm_input)\n",
    "\n",
    "        x = Dense(n_outputs)(lstm_layer)\n",
    "        \n",
    "        self.model = Model(inputs=lstm_input, outputs=x)\n",
    "        self.batch = batch \n",
    "        self.epochs = epochs\n",
    "        self.n_layer=n_layer\n",
    "        self.lr = lr \n",
    "        self.Xval = Xval\n",
    "        self.Yval = Yval\n",
    "        self.X = X\n",
    "        self.Y = Y\n",
    "        self.mask_value = mask_value\n",
    "        self.min_delta = min_delta\n",
    "        self.patience = patience\n",
    "\n",
    "    def trainCallback(self):\n",
    "        return EarlyStopping(monitor='loss', patience=self.patience, min_delta=self.min_delta)\n",
    "\n",
    "    def train(self):\n",
    "        # Getting the untrained model \n",
    "        empty_model = self.model\n",
    "        \n",
    "        # Initiating the optimizer\n",
    "        optimizer = keras.optimizers.Adam(learning_rate=self.lr)\n",
    "\n",
    "        # Compiling the model\n",
    "        empty_model.compile(loss=losses.MeanAbsoluteError(), optimizer=optimizer)\n",
    "\n",
    "        if (self.Xval is not None) & (self.Yval is not None):\n",
    "            history = empty_model.fit(\n",
    "                self.X, \n",
    "                self.Y, \n",
    "                epochs=self.epochs, \n",
    "                batch_size=self.batch, \n",
    "                validation_data=(self.Xval, self.Yval), \n",
    "                shuffle=False,\n",
    "                callbacks=[self.trainCallback()]\n",
    "            )\n",
    "        else:\n",
    "            history = empty_model.fit(\n",
    "                self.X, \n",
    "                self.Y, \n",
    "                epochs=self.epochs, \n",
    "                batch_size=self.batch,\n",
    "                shuffle=False,\n",
    "                callbacks=[self.trainCallback()]\n",
    "            )\n",
    "        \n",
    "        # Saving to original model attribute in the class\n",
    "        self.model = empty_model\n",
    "        \n",
    "        # Returning the training history\n",
    "        return history\n",
    "    \n",
    "    def predict(self, X):\n",
    "        return self.model.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = NNMultistepModel(\n",
    "    X=Xtrain,\n",
    "    Y=Ytrain,\n",
    "    n_outputs=n_ahead,\n",
    "    n_lag=lag,\n",
    "    n_ft=n_ft,\n",
    "    n_layer=n_layer,\n",
    "    batch=batch_size,\n",
    "    epochs=epochs, \n",
    "    lr=lr,\n",
    "    Xval=Xval,\n",
    "    Yval=Yval,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         [(None, 48, 7)]           0         \n",
      "_________________________________________________________________\n",
      "lstm (LSTM)                  (None, 10)                720       \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 1)                 11        \n",
      "=================================================================\n",
      "Total params: 731\n",
      "Trainable params: 731\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "477/477 [==============================] - 10s 21ms/step - loss: 0.2691 - val_loss: 0.1387\n",
      "Epoch 2/20\n",
      "477/477 [==============================] - 10s 22ms/step - loss: 0.1213 - val_loss: 0.0986\n",
      "Epoch 3/20\n",
      "477/477 [==============================] - 10s 21ms/step - loss: 0.1001 - val_loss: 0.0804\n",
      "Epoch 4/20\n",
      "477/477 [==============================] - 10s 21ms/step - loss: 0.0866 - val_loss: 0.0792\n",
      "Epoch 5/20\n",
      "477/477 [==============================] - 10s 20ms/step - loss: 0.0779 - val_loss: 0.0668\n",
      "Epoch 6/20\n",
      "477/477 [==============================] - 10s 20ms/step - loss: 0.0735 - val_loss: 0.0715\n",
      "Epoch 7/20\n",
      "477/477 [==============================] - 9s 20ms/step - loss: 0.0717 - val_loss: 0.0575\n",
      "Epoch 8/20\n",
      "477/477 [==============================] - 10s 20ms/step - loss: 0.0675 - val_loss: 0.0666\n",
      "Epoch 9/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0675 - val_loss: 0.0535\n",
      "Epoch 10/20\n",
      "477/477 [==============================] - 9s 18ms/step - loss: 0.0642 - val_loss: 0.0555\n",
      "Epoch 11/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0659 - val_loss: 0.0525\n",
      "Epoch 12/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0618 - val_loss: 0.0667\n",
      "Epoch 13/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0628 - val_loss: 0.0514\n",
      "Epoch 14/20\n",
      "477/477 [==============================] - 12s 25ms/step - loss: 0.0610 - val_loss: 0.0612\n",
      "Epoch 15/20\n",
      "477/477 [==============================] - 10s 21ms/step - loss: 0.0630 - val_loss: 0.0571\n",
      "Epoch 16/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0614 - val_loss: 0.0511\n",
      "Epoch 17/20\n",
      "477/477 [==============================] - 8s 18ms/step - loss: 0.0589 - val_loss: 0.0596\n",
      "Epoch 18/20\n",
      "477/477 [==============================] - 10s 20ms/step - loss: 0.0616 - val_loss: 0.0564\n",
      "Epoch 19/20\n",
      "477/477 [==============================] - 9s 19ms/step - loss: 0.0600 - val_loss: 0.0510\n",
      "Epoch 20/20\n",
      "477/477 [==============================] - 10s 21ms/step - loss: 0.0594 - val_loss: 0.0508\n"
     ]
    }
   ],
   "source": [
    "history = model.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history.history.get('loss')\n",
    "val_loss = history.history.get('val_loss')\n",
    "\n",
    "n_epochs = range(len(loss))\n",
    "\n",
    "plt.figure(figsize=(9, 7))\n",
    "plt.plot(n_epochs, loss, 'r', label='Training loss', color='blue')\n",
    "if val_loss is not None:\n",
    "    plt.plot(n_epochs, val_loss, 'r', label='Validation loss', color='red')\n",
    "plt.legend(loc=0)\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comparing the forecasts with the actual values\n",
    "yhat = [x[0] for x in model.predict(Xval)]\n",
    "y = [y[0] for y in Yval]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating the frame to store both predictions\n",
    "days = d['dt'].values[-len(y):]\n",
    "\n",
    "frame = pd.concat([\n",
    "    pd.DataFrame({'day': days, 'temp': y, 'type': 'original'}),\n",
    "    pd.DataFrame({'day': days, 'temp': yhat, 'type': 'forecast'})\n",
    "])\n",
    "\n",
    "# Creating the unscaled values column\n",
    "frame['temp_absolute'] = [(x * train_std['temp']) + train_mean['temp'] for x in frame['temp']]\n",
    "\n",
    "# Pivoting\n",
    "pivoted = frame.pivot_table(index='day', columns='type')\n",
    "pivoted.columns = ['_'.join(x).strip() for x in pivoted.columns.values]\n",
    "pivoted['res'] = pivoted['temp_absolute_original'] - pivoted['temp_absolute_forecast']\n",
    "pivoted['res_abs'] = [abs(x) for x in pivoted['res']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp_forecast</th>\n",
       "      <th>temp_original</th>\n",
       "      <th>temp_absolute_forecast</th>\n",
       "      <th>temp_absolute_original</th>\n",
       "      <th>res</th>\n",
       "      <th>res_abs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-11-30 14:00:00</th>\n",
       "      <td>-0.793414</td>\n",
       "      <td>-0.791943</td>\n",
       "      <td>-0.523923</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>0.013923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 15:00:00</th>\n",
       "      <td>-0.823321</td>\n",
       "      <td>-0.797228</td>\n",
       "      <td>-0.806867</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>0.246867</td>\n",
       "      <td>0.246867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 16:00:00</th>\n",
       "      <td>-0.825288</td>\n",
       "      <td>-0.798285</td>\n",
       "      <td>-0.825478</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.255478</td>\n",
       "      <td>0.255478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 17:00:00</th>\n",
       "      <td>-0.825989</td>\n",
       "      <td>-0.816253</td>\n",
       "      <td>-0.832110</td>\n",
       "      <td>-0.74</td>\n",
       "      <td>0.092110</td>\n",
       "      <td>0.092110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 18:00:00</th>\n",
       "      <td>-0.841069</td>\n",
       "      <td>-0.835279</td>\n",
       "      <td>-0.974783</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>0.054783</td>\n",
       "      <td>0.054783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 19:00:00</th>\n",
       "      <td>-0.861765</td>\n",
       "      <td>-0.836336</td>\n",
       "      <td>-1.170583</td>\n",
       "      <td>-0.93</td>\n",
       "      <td>0.240583</td>\n",
       "      <td>0.240583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 20:00:00</th>\n",
       "      <td>-0.865690</td>\n",
       "      <td>-0.835279</td>\n",
       "      <td>-1.207718</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>0.287718</td>\n",
       "      <td>0.287718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 21:00:00</th>\n",
       "      <td>-0.868307</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.232481</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.382481</td>\n",
       "      <td>0.382481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 22:00:00</th>\n",
       "      <td>-0.869778</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.246393</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.396393</td>\n",
       "      <td>0.396393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 23:00:00</th>\n",
       "      <td>-0.868842</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.237538</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.387538</td>\n",
       "      <td>0.387538</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     temp_forecast  temp_original  temp_absolute_forecast  \\\n",
       "day                                                                         \n",
       "2020-11-30 14:00:00      -0.793414      -0.791943               -0.523923   \n",
       "2020-11-30 15:00:00      -0.823321      -0.797228               -0.806867   \n",
       "2020-11-30 16:00:00      -0.825288      -0.798285               -0.825478   \n",
       "2020-11-30 17:00:00      -0.825989      -0.816253               -0.832110   \n",
       "2020-11-30 18:00:00      -0.841069      -0.835279               -0.974783   \n",
       "2020-11-30 19:00:00      -0.861765      -0.836336               -1.170583   \n",
       "2020-11-30 20:00:00      -0.865690      -0.835279               -1.207718   \n",
       "2020-11-30 21:00:00      -0.868307      -0.827880               -1.232481   \n",
       "2020-11-30 22:00:00      -0.869778      -0.827880               -1.246393   \n",
       "2020-11-30 23:00:00      -0.868842      -0.827880               -1.237538   \n",
       "\n",
       "                     temp_absolute_original       res   res_abs  \n",
       "day                                                              \n",
       "2020-11-30 14:00:00                   -0.51  0.013923  0.013923  \n",
       "2020-11-30 15:00:00                   -0.56  0.246867  0.246867  \n",
       "2020-11-30 16:00:00                   -0.57  0.255478  0.255478  \n",
       "2020-11-30 17:00:00                   -0.74  0.092110  0.092110  \n",
       "2020-11-30 18:00:00                   -0.92  0.054783  0.054783  \n",
       "2020-11-30 19:00:00                   -0.93  0.240583  0.240583  \n",
       "2020-11-30 20:00:00                   -0.92  0.287718  0.287718  \n",
       "2020-11-30 21:00:00                   -0.85  0.382481  0.382481  \n",
       "2020-11-30 22:00:00                   -0.85  0.396393  0.396393  \n",
       "2020-11-30 23:00:00                   -0.85  0.387538  0.387538  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivoted.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "plt.plot(pivoted.index, pivoted.temp_original, color='blue', label='original')\n",
    "plt.plot(pivoted.index, pivoted.temp_forecast, color='red', label='forecast', alpha=0.6)\n",
    "plt.title('Temperature forecasts - scaled data')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NvffeG2effTY2btyI3//+99htt92w2267YdKkSQCkzVPOP/987Ljjjhg9ejTeeustAMAf/vAHjB07FiNHjsRtt92WLvvGG2/EiBEjMHr0aFx77bWYPHky3n//fVx33XXYeeedsXjx4lB/O8V5JgiCIAiCyFXeeANYuTLYPPv3B045xTbJE088gU8//RTffPMN7rjjDowZMwbvvvsuvv76a5xzzjmYNWsWAGDu3LmYOHEi2rVrhzPOOANXXXUV9tlnH6xYsQKHHXYY5s2bhzvvvBOdO3fGnDlzAADV1dUAgLvuugtdu3ZFMpnEwQcfjNmzZ6Nv37545513MH/+fDDGUFNTg8rKShx77LE4+uijcdJJJwV7L0wg5ZkgCKIA4Rz417+A884DevaMWhqCIHKZiRMnpq3FBx10EDZt2oS6ujoAwLHHHot27doBAL788kuNa0VdXR3q6+vx5Zdf4rXXXksf79KlCwDgjTfewFNPPYW2tjasXbsWc+fOxYgRI1BeXo4LL7wQRx99NI4++uhs/cw0pDwTBEEUINOnAzfcAHzzDfDJJ1FLQxCEZxwsxFHToUOH9OdUKoUpU6agvLzc8bqlS5fivvvuw/Tp09GlSxecd955aGpqQnFxMaZNm4avvvoKb775Jh599FF8/fXXYf4EA+TzTBAEUYA0N0t/t2yJVg6CIHKffffdN71ocMKECejevTs6depkSHfooYfi3//+d/q74tpxyCGH4LHHHksfr66uRl1dHTp06IDOnTtj/fr1+ER+y6+vr0dtbS2OPPJIPPjgg/j5558BABUVFdiSpQ6NlGeCIIgChHPpL2PRykEQRO5z++23Y+bMmRg9ejRuvPFGPP/886bpHnnkEcyYMQOjR4/GiBEj8MQTTwAA/vrXv6K6uhqjRo3CTjvthG+++QY77bQTxowZgx122AFnnHEG9t57bwDAli1bcPTRR2P06NHYZ5998MADDwAATjvtNPzrX//CmDFjQl8wyLjSg8aAsWPH8hkzZkQtBkEQRN7z7bfAAQcA++0nfSYIIneYN28ehg8fHrUYOYXZPWOMzeScj3WbF1meCYIgCpBUSvpLlmeCIAh3kPJMEARBEARBEIKQ8kwQBFHAkOWZIHKTOLndxp2g7xUpzwRBEAUMjb8EkXuUl5dj06ZNpEALwDnHpk2bhMLjiUJxngmCIAoQxeJMiwUJIvfo168fVq1ahY0bN0YtSk5QXl6Ofv36BZYfKc8EQRAEQRA5RElJCQYPHhy1GAULuW0QBEEUIOTrTBAE4Q1SngmCIAoQUp4JgiC8QcozQRBEgTICv6IMTVGLQRAEkVOQ8kwQBFGAlFWtxhV4BMfgg6hFIQiCyClIeSYIgihAEi2SxXkwlkYsCUEQRG5ByjNBEARBEARBCELKM0EQRAEzFIujFoEgCCKnIOWZIAiCIAiCIAQh5ZkgCIIwMH068OijUUtBEAQRP2iHQYIgCMLA7rtLfy+7LFo5CIIg4gZZngmCIAiCIAhCEFKeCYIgCIIgCEIQUp4JgiAIgiAIQhBSngmCIAqQN9+MWgKCIIjchJRngiCIAuTNt6KWgCAIIjch5ZkgCIIgCIIgBCHlmSAIgiAIgiAEIeWZIAiCIAiCIAQh5ZkgCKIAGYRltuePwod4FH/KjjAEQRA5BO0wSBAEUYCcgjdszx+DD7IkCUEQRG5BlmeCIAiCIAiCEISUZ4IgCIIgCIIQhJRnggiJRAK48MKopSAIgiAIIkhIeSaIkOAcePbZqKUgCIIgCCJIfCvPjLFyxtg0xtjPjLFfGWN3yMcHM8amMsYWMcZeZ4yV+heXIAiCIAiCIKIjCMtzM4CDOOc7AdgZwOGMsT0A3APgQc75tgCqAdAENkEQBEEQBJHT+FaeuUS9/LVE/scBHATgTfn48wCO91sWQRAEQRAEQURJID7PjLEixtgsABsAfAFgMYAaznmbnGQVgL4W117CGJvBGJuxcePGIMQhiMh45RXg9NOlz7tiBvpiVbQCEQRBEAQRKIEoz5zzJOd8ZwD9AOwOYAcX1z7FOR/LOR/bo0ePIMQhiMg480zgtdekzxfjadyCO6MViCAIghCCc2DNmqilIHKBQKNtcM5rAHwDYE8AlYwxZQfDfgBWB1kWQeQSv/0GTJ8etRQEQRCEFU8+CfTtC8yaFbUkRNwJItpGD8ZYpfy5HYBDAMyDpESfJCc7F8B7fssiiFxl++2B3XePWgqCIAjCim++kf4uWBCtHET8CcLy3BvAN4yx2QCmA/iCc/4hgBsAXM0YWwSgG4BnAiiLIAKjpQXYd1/ghx+iloQgCIIgiFyh2DmJPZzz2QDGmBxfAsn/mSBiybx5wMSJwPjxwOzZweQ5Gj9jeywAcEowGRIEQRAEEStoh0GiYGHgOByfoFPrpsDy/CMex8H4KrD8CIIgCIKIF74tzwSRqxTXbsLxeBdtm6YBuC3Usg7HJ6hEDYDTQy2HIIKGc4CxqKUgiOzBedQSEHGHLM9EwcIg9ZAlvCX0so7HuzgAE0IvhyAIgvAGA0cF6tLfq6uBmhpg8uToZCLiCSnPROEim9PCMDKsnrg0hFwJIvt88IHUVGpqopaEIMJlh6qJ+BeuQ/tNK7FuHdC1K9ClC7D33kBTU9TSEXGClGeiYEnItZ+FMEc36bRHAs+TIPxyxBHAv//t7pq77pL+zpsXvDwEESd6b/kNAFBevQZr12rPtbVJ7hxTpkQgGBE7SHkm8oquXYGHHxZLq/hxhmJ5pi2BiBjy6afAFVe4vEh+uSQ/UKKQMPPzf+45YM89gTffzLo4RMwg5ZnIK6qrgSuvdHlRCEoBB62wIgi3NDcDixZFLQVBmLPw1xbsjYlYvIjeJAsdUp6JgiVMyzNB5BvZsDxffDEwbBhQWxt+WQThllG/vY2z8SK6r/81alGIiCHlmcgrrsO92AUzhdKGGX6rtMT8OFnVCMKaL76Q/jY0RCsHQTAG7I8J6ILN6AppL4DGDVsAAGuXNEYpGhEDSHkm8oqhWIxL8JS7i0KwqJWWmWvml1wSfFkEIcqemIyBWGY43tpqfU15qgF7YVJWTM/kV01EiqoCFtVswul4FXfjL/gHbgKamjB9htSvf/B+KioJiZhAm6QQBU8Y4zW3MGvzFAfIH5qIiHPxvPzpSc3xyy4DnnzSmB4Ajtj0ErrgR5Su7QtgUJjiEUQ84ABLJbXHWlrAmWRvZOTsV/CQ5ZkoWFgi+07Pe1R9mL3CCEKQTz6R/rZrBxx2mPZch6TkgMxaw99MiCCi4rbbgMVLVIYN3TQI50BLm3SelGeClGcif3A555sxDgffEVpF2xi09ZfAyyKIoNi76Uts/nx6ZOVvk1yN4/EO+W8QWeeNv81DcnON5XnOgZSsMiUQgtsG52j7dhJ4I+3GkguQ8kwULGnlOYRxuiJVZ36CdAIihii66sn4Hy7CfzTn3GwiVFUFlLBWvP2WdE1jI3DffUAy6XChzCUND+FwfArWSCsGiexyJR7CdpA2SeFg2LhRe56xjFEkDMtz1axVeOaAF/DNuc8FnjcRPKQ8E3nDrFnu0kcRqo4MakQcGdWsjVDjtZ4unFmHR3EZvr31KwDAnXcC110HvPCC2PUJSFo247Qgi4iWLhVthmOK5TkM5XnNSqnuz5u0OfC8ieAh5ZnIGy680Nt1Xrbnvuoq+1B3VjmS7kzEkRMaXsY772S+z51rTFNas8Exn/ZN0sC/Xa3k+lFbC4zFdBSvWCIoCS2mJeKBQUFmLG15duO2sWgRMG7HBmza5FCeYsxRF9vQADz/vLR7EBErSHkm8oYVK1xe4CPQ8+MPNaMX1lme37o187mqynMxBBEKVWuNselefDHzWT2AK597fPYinCgukdpUqi2jXFyE/2CXL+7xJihBRER6QbmKLqhO/531k5gp5H9X/4ALfrkKnz2zCgDwfxfOwDUVxnCqSnmaXD/9FJg8GZgwwZXsRPiQ8kwULGadoyiX4VHcgduE0v7jH6ovZHomYsCLfW7QfOeMad4l1cqzYoGbK7CpWlGxmfkMqK4Wk8tsoe2yZeTuRESAiXFlR8wBAByBTzB1l0uFsulTLTWcdtVrAACJZ5/GdvXGjbxs1+CkyI0pbpDyTBAeUBaWiDB1aoiCEIQH2mOr9gB3nohZtFggY4tMfjVxA7FF1panTQMGDwaeeMLl9QThl6A8iARXps+fryTLpFu2IoEnnwJ+W0Bvj3GDlGcif/BonvKz+EPa9MQhf3LjJHKAhGo00LhtuMjDbzQCveX5N/kdddIkT9kRhDcYM+jOXmc/rMKW6rn6GmNB02YWAQCmThYMV0NkDVKeCUKGc2CmcTbNFpEQXAlqZUTM4bB+yfOyoNZ3NAK5TMYAhhTNWhM5j2g7Wr8B6TB5nauXSh+oAcQOGtaJgqSmBqjThWJ+/nlg7Fjg3XddZCTQIapXZpPvJhFHGOeWPs/uMtL6PBe3NnrLR76+fMtG/B/+gCFV5PtEZA8u4MYkmk+bMeKdI3vvLf1d+6Wy0IAGjrhByjNRkHTpAuy7v7Z3/FXupxYuFM9HxG1j+60/uhGNICJh2KYp/jNhWreNkyZd6erylG6Ku0O1FKFg8GZqQ0SW0WnPXl4oX7ptIZI/TBXKoAiZaUxlDKIIdfGFlGeiINkdU7EPJkpf5E6tXVM1/ojHUNTmoscS6FGLuAfTA0Fkmf61ma3jWYN6QWF0Vq/MWiuyvBER48EUXffie5kvDnX4KjwIANjGLAQqVf/YURy1AAQRFEOT4hEwLsCz6c/Kgo6RC99FDWaj46qZAPYSykdkTDf0ucmk5AitnydPpYCiIqFyCSJIOIAEeHqMLlm/SntSFBbQgkHF51mJfUvKA5Flsr3QuxQtAIASGGOwUwOIH2R5JvKG82sftD65aZPlkn1loK/aJPWWLS0uCvWgPT9Z/Ed8fJp2v+LZlz6OaWP/6KJggggQLi3My3z1qDnownKt6DHWZz7q3IAl/5uJmgXr08enTBFbtEsQfsmm/noc3s1eYYQnSHkm8gL9Jgx1m1rxwEmT0bhFdpm47z7ghReAVpO3epnpM6S/bsJiiXSoCRhH95VvTNZ8/+Gp2fhplni5BBE0CZ6pp4kttd4yYcr2xVLDaEuU+pIpvf5Q1uu/OOUpfLbHrQCkdrrnnsDdd/sqgiCygwvt+wh8EqIgRBCQ8kzkBVu2aL+//MdJ6PDW83j/Vkkjbq3eIkXXsOnAdtpJGqkPPMCFiUGgQxzYMN/yXGMj0NAgXhxBZAX19IuLQd9vnGcFRWlOFBndNmpqpL+rZM+S2bN9FUUQplU8aLcNX22C3DZiBynPRF6QbNN2Lu0aNwMAiutrAACffAy8+pp9Hl27Sn8rUSNcbkWnjOK+aZNVqoxs+j5w8GCgQwfh4sxpbc1oFAThgfZ8K9RbqjEej7iyush3wucIwjcG16HodruiKh4/SHkm8oKyJu00c3qhkRxKbsVK+YTNSKt0joPmvC9cLgPHkiXS53Umi6SlNNasX29zUpTHHgNuuCGAjIh8xi7sVWOT9nuytJ2vslJcrvU+zXfK5WZWu5LGOjyB8ehbN89XGQRhGBbM6q2XzYLU2fh5yyPtOXaQ8kzkBWXl2s7unfe0072KYhw3K1UH1KMCdc4J7ZhHygPhzOWX259XW9aKa6rSn71MN3ueonZxWYeNywAAozZ87a0sgrCApwLaJYXIWyhUHZEXWE2p6Tcx4dxoCU4r2IKdZa1uLdXOO0tWZyvF3G7ntvtxjVCZBOGXH34AdhVMW78yswLXixrsVe/QK91ffgkMcCojbm/ERM4hstlV0NUsqF0MiWggyzORH+h6oc6QNFwRy3NmwFacKO2LUgfsUK6dMAEoXWKxMDDkwb1+K7B0aahFEHmAm22C5871V5bvKi9n8OFHAeVHEG4w0Wq//IIqIZGBlGciL9kLUig4vUFBxMLghNVAnqirMT0etnXh3XeBz78Itwwi96lssnDKl1HPvATRTkSZNs26TY3Er84ZkGZN+ESkCn34YfbL9JaYyAakPBN5QcqqKuvdNsAM/VDaKo306iRhrsAjKIJs0otoDm7rVuc0BHHO5oeE06qVZxbiwP3FF8C4ccC//21+fn98a3kt7T5IhIm+O++9dVGg+fO19i+zRLwh5ZnIaxQlQO1L+dZb2jR+4m8OxWIMwjIAQKKlyTQNswlV5xu7EApE4bF8OdBkXg+LTDbrUaNWktX11E2dvfJK8bRAxt1ozhy5LIs3V7M2Sv6iRFCYzbTo6/22m6YGWia79x4AwMyZwI8/Gs9T/P94Q8ozkR9YjKRmA39VlfGYXR6GPFu0uxSWQVJgi2o3m6YvTZkrM0Hw9h73ZuTK4lQ7EUPa2oB//EMKXWiC04LYIF7yZv3s7TqlPEUGfflzfgG+/95b3gQRBHU+gyIBuq3k5Y2Ixo4FdjVZyXvXXZnPNLsSP0h5JvIaswWDVh0RF1wwqEcZ8FMJ8+A1g+p/cZehCzbOWpX+TB1sgbNhAxYuAup/XuwxA4/mZtscxV5IFb2+odG6/AsvtLiIKj7hE5EqtNncNuIKteFm+jSp0F0xA7vDaNUmd7x4Q8ozETtaWjJb74pi2flxo9uGJfJgPHGSu8Iux79Rs6JOyHId6jhPSkRBU3/9Hfj6a+D997zVA7Xbhjp6ixe3pi7JjcDjjzumS1ucmc4qp5cNXLNjOEFkmz59g/UTmjNbqvwX42lcgGcN59XDid/t7ongIeWZiB0XXwz07w80NjqnVVBCWunhKY6Ueqdhzi113NWrxcoy01GHFi0TsrKR7kyExZv/k/7W1gFvv+0vr8VLvF13Et4EAGytB356/mfU19unL6/bgMfwR3RqlLbaVIeYVLa9B4BR+IXqNxEaZvsBBEG/xoWaPDUx/x2uLWvJNABOlT92kPJMxI5335X+ulkLZ7V7GmNaJdysD1KOzfW5UR8vKfWXgU/I57mwaVZZZn//e7MU4j7PA7BCdUa8Xu0Eyem5pVUKQTd1mn36HstnoAhJDN3wg3ahI+d46C7tvHW7lPY7LRgkQiUMhVWzEtc+6fYrvxROS2QfUp6J2KGeyg0sM7/89htw6aVAfb2lktrSZ6Dp8ZVqFxQyPRMhk0AqEz7RFZn6MxDLzQ67pj3sQwYkUQQAKOJtmpkbzoEBy77TpD2r/gnTPKjaE36xM6oopNzEMDUhwThYa+YNNxuuGJwDl10mRfQggoWUZyJ2eFGe7ToixnTnvYy2n30mXWexld+yZcBxxzlnE6ruTJZnQubPeDhqEQAAu8AkBpeKIbMk/5Ii3ubY4LslN2i+K3GeSXsmfKOrQ2+9zQKpV4ZQzupwkC7z+tvfgIULndOpqa2Vgu8cfLDLwghHSHkmYkcYi+hL0JrOs8fyGd4zsgjXMWkSMBqzveeryj6Ka4n8Yjv85vqaMDdDcSzbi65CbhtEQOjrnnnIRX8VzrAmxqG+q98la2qB224DDjnEZZk0JoQGKc9EXtPWytGhg7YHKW5zH3e5qZnht4UAFiww7ZCGbJ2NQyCwRza5bRA5Rpi1Sgn/xRio/hKRwdYYV4vr4zr73o+Kc80MqCu3DTmpm0X0cpFSWfSiGTikPBO5Q1WV6wG2psakk7LoSQ7EN5b5vPYa8M03wIZXvjQ936G1VkgetSTcxLxBlmciLByjwVhUoDAt0paLdDnHbwvsy03/Gqr4hE+K7v2H4dgJJ2q/LzCZzDnwQOCNN1wU5KKuztO0DW91nJTn8CDlmYgdpm4bK1cCN98MfPWVq7wSTBeCKMWFN25QUyvrxq2tesG889QYYxxcX8oz+TwTPvjxp2jL19f9n2bZp0/7PBNEFjAbN1ZMWIwLTnWIx6jOQ9VHO/XWHTtqv++AeYaIM47lcWAbrE3vgksEBynPRGyok/cZMd0GdeNG6e+iRe4y5Rx9sMa3bNoAncZuT3gKjvRbQpSGBmnLbQGWzXOez42z9Ukvm5uXSDI8E74R2UPLJNH1uBfX4j7xYjRTj/ZphwzJfC5OtuBKPISLGh8RLguQlPXbcTsuaP4/V9cRzpDyTMSGFStsTjqM/OUw92Pu2LIZt+BOV3l5QVR5dkpHbhuEwo/7X4WlN5iHZ9PTWiXmNmRHpLuYmTTJEZhrf0mMXwaI3EIfRGkUfhFuD72xVrwgj9E2ipm0/WaPNn34DrHyhqXmu7uOcISUZyJ2nIi38ATGG7RBzmGpIV6Of5seL2vVTqnxFPc96vpxj/Ci4E6dCjz9tEDe5LaRV0yfAXz+wByhtKG6MGThrYxBN6XNgWHQxuWq26K/iLRnIhi+maD9vhcmh1KOpo920ayY7H7otimmfZ7dXUYIQMozERuUhv47SIvyeEtr+tySJcBTT1uFEHL59u8Bp3F6icftjPWYdY5P7PFfpC4ZH0wBRH6S44qkodq70BJoxoUIgyBCj+pxY+BQN+ltN/7grTxqG6FByjMRO9pQLH1IJtPH5sozuD//5K43KE26jO3jwKrV5h1Sr14BFWCS+R6Y4vVSolBIOHflm2u8KthZqFgeilCUi0jdTYi85QS8o/nutp6tXGl/3lVuHqt4ekzI7XfrWELKMxEb9Mqf+i1dmZZ2qyDqOzy/CuasWebWg86dxDJ2Kp98nglPCCjPTgyHVdy4gPn5Z+Cee8zdskw+KygbHRFEFOwK6z2uZ7/6a2ZRu8wxh7UY0rnqowOYTUql5Kx850ToIeWZiA1KQzdD6Udcu/WGoFGaKc9BleJLXNKeC5bVUx3MXBCI82x9YaBU3/s0fnl/iSGSSIta1zCpyx2gDdNlu8CYILLID2c8Avz1r5pjB6183pDOVRetSrzQZZApQx76pv/ZZ8CTT3rMlABIeSZixIRvOPbHBJRCGkXVHU069rONgm2GyFRbENO+gb3Z+1CAacFg4TL/CmPM8KAIula98QYwaTJ0kQcYTvq9dsGgE+/fFbxPKkEExcCkcSGM3z7a7VillKcfn2bd+jY+v+dHX7IUOqQ8E7GhZNVSnI5XTc8liryppyJuG0L6qmoKzawDrGirFhPIoTBy2yBiR8D1qlU2OOvb0fcT3eVzEL4OSCKCyA7Z7qOtyps6zRiej3AHKc9EbChK6XwaTVq+meLaYnQtS5NiRc55urQbm3VI3ZoD2IiFIGRq/YdtDpBwRnx9OxqI5ZbnCIJwDy0YDA9SnonYMHiItoUrDb9hbS2Sm2ssr9trL+s8t5T3MBxjui279Vt4O+FvYCfLM+HMccdFLUH46BcIXoUHTc855hOgTAThlWrd5KOpUcZNxQ5gwSDFeQ4PUp6J2NCzp/nxl/tdj5X3vALAfMHgTOtF0Aa8KpiafixELdXXBizk85w3TJ8etQQZgq7uilLxyy82adzEw6W3RiIGbN3qnCbrbhsp0p7DgpRnIjYU1WvnqpWGr47CYbZgsMxia+7QMOkBVwt6bfgZ6JuaNKGviTwmTnueBK2cKsrz7uOs01xySaBFEkTofBVDF3yl6SZofiZwSHkmYgNLGuO4NjboG72xE7gdt4uXUVeLITP+51IynQQhulbYWdzatQPOPNN73kTuMDIlti23G7yGqgu6XplJoS8jNTv4308QYdKUDRtOS7OYiVuGxoTwIOWZiA2tPftpD3COAzpMMxzT0wWCkS4AFL/xCopbGryIZyeCMH7C4v0fLkXj6+9ZJ6CeMm84s80YI9Yv3VEVeJ5q7OK0A8CWLdrv6ragbxcnQ/wFl3YYJOIIN5k+CqKL3nDro+Iy0ILB0CDlmYgPJp1NX6wOtoxk0lVH0tQEzJ4NrWw+ekCngd4uawaOI/Gxp2uJ3KIYbc6JsoVgxfraYdr6tesprixRwATUQb/8wDr9ZoaW3HareZxnwj+kPBOxxayvyfbioAsvBHbaCajfqorz7MdtIwCZLPOmBYNEhLQ67J7duXqZ5nt/ZHZFpBc/ohAwGE88VPz2aEBttdhuYa+/kS6YCBhSnonYYDA8c45u2GQ45ge3V0+aBAzGEtSuqMnk4UNJdVL+SQEmAAQy2DU3B+SHGdKCwWtxX6D5EkTcKZ0+SfN9xqRmT/mwrfVi6UCW57AojloAgrCCc2AsZuiP+spz0SKGyd8Zy7GCMeAG3KNN7yecnNOCQdKdiYAYMgRYsyZ7dSpOEUIIIo4suO8DzfeJD89EOw/5FK1fA6BTIDIR3iDLM5FTuHbb0A3o33zj7vJdmiYbjpWuXOwuE404LuX/7TfjMf3KKwXSvPOGIPTQNUFteilar5xWDIYEVXsijphMpGLefO2x7rXexhKWEotZWgRtusZGoHNnT0USOkh5JmKDiOWKmQV6tkM3sJopr3bl7t/0meFYpzefcSeDQ/lqNIrAzz8D999vTGSxHzkpEYQlX37p+VLRF74Oaxd5LsMPxbzVVfgugogL9R6rrWhffwmekj7IY9z99wN1dd7KJLSQ8kzEFjP3CL/6oVmsW7dK56KF/iSwP606v3kzamqNSbbWk5ac72jCXFnNNLhg85PeY5uL1rYOqxaI5Rewf0fboqX4eszVgeZJEH5J6cYas2qfbLVuXcMWf+JbhuGYJ5Utf29pSuEMvOw7X4KUZyLOmGi1nLsdeLV5uB23zdL/+JNLEVyg/slzfmF4/XVjmvXrzDtcsjznKQFYVf/3po+LBStWUaP9IiY7pTnlul1rWejrhZYgosFu46KVKy1PuUcuZsiyr7EfvrNPSwhByjMRG/Rjq2moOre2Z31yk77KTqH2uiubFaLRNlatAi67wrzs5iYpTbN+oTZpz4SKvTAJe+AH/xkJVqut/bb3XxZBEABgG8s52b7CVV7KSFLS6m+DMCIDKc9EqPzyC3DGGUBbQHs+hKEeOkXbCLQswXQvPVqDUfjF9JxyL1dMXavNm3TnvCGhqinLl3vL4xy8gPPwXADSBF2xKCwHUXiYGoM8NgVeWubtQgqJExikPBOhcuaZwKuvAr/+6v5aU2XQ9TgeL43S0fIsnz7kyxswGrNN07zzNgfnAGvVLhykGNH5SVNjtM81G9tf15r49hNELhPmhl6usyadOXBIeSZiS11tAJ2PIdqGO7L+oi7QK/7v8Q344AMyIuQzanehqGcUslF+a4PD9oQEQXgm3ZvQoBEYpDwTseWvfw0hUzOf52xapwUtz3ZchkexeTMMHWHUShaRnwRnQbMeuLu0rA+oDIKIjrlzgc8/D7+cVatcXkA6c+DQDoNEVtmwQYq8NXSoc9p6sR1IbclVhdKwGNAElhBYYUkQBEFkhZEjpb9hd8W9erlLT5bn4CHLMxEq+k6kVy9g223N03pSBl32UmZdR9ARNezLF7M8zzFfK6hJp79fpDvnD5oxzueD9b1YN+iKZdLcqO4SgTBxIlBTE7UUAIyrbTrWro5EDgDYtFn+oFeeabGBZ0h5JnKKvg267apnzfKdZ6zcNtrEtl0lZYMQ5fbbs1SQYKU0e1ldvVRgqkVNUqydEAVEfT3w4ovAww9HLYkpJS3R74Kpf6/46U//iUSOfICUZyJUuiSrcDLe8KTtJZjFNVddlfnstNeorty+zYtdyRD0bmhOt6H8nVfFM0tomy9F28gfgnw58hLpRktGmBVzwrFUlaTcKc+bTv2j4RjV/wInlZL+BrAjp1cSSKIELabn4mDw+PBj7Xg2c2JjRJLkPqQ8E6Fy0qYncDC+QskG5ykrIT2VA2jIBHpfs85dFXarCldVubzAEfsetGi+mKYTh46YKAzUCwY3zFhhOM85MHUqsupP+eZbWSuKyBFaWoAnnwJmm0f4zApX4UH8G5ebnvvtN9PDnmg3d6an67pis3MiQghSnolQSQ+8HrS9Em7+Bq9m+gx3A/Y6s0X92VxDEaDSSwsGCRH86rRO1erxx4E99gAmTxaUx+RYqYW1zg1keS5sFJeEiROjk2EYrPeJN1sE7tVlsNM373m6Tr81d4rCcHiGlGcituy72dhBNDUDG9XW4CCsXTb9Vx+s8Z+/CoaUvSiCCnCiqYEWDBYKPh+s3ybiNMDPnSv9XblSLD8zn2eyiBH5RqPeIyKGkS7C3Mgl3yHlmcgKIv2GPk150rjAoqoKePttNyXHrHNwEGeNoK7ec9m0WHbGRAj4HOCKebgbkCjiWa5R0KULK7oNWZ6JOCFiVe7QWhO+IEQoUJxnIlT0C+72xwQMxHIA5zpeG0gUjJiNp0560FdfAb+8E07eRGGy+4o3/WUgULHaYyu++x7YwS6R3s2IIAIkmyFHA0OZtnFJbR3QLYDiaczwDlmeiewgt9LT8Sr2gqBzpEB+uTYgO70QMHC88YbHzKknJExo3VgTXGYmsx0D103FA7ga/SHotxFWk6X6T8SIbtjkmKbJZYRGhS++8HYdERykPBPZQWBgC2fsi9eAKvIbvXpjkO6QPwQZe7zLilk+c7CXpWfNAgDAICzzWY4/qP4XNuTFRmQTUp6JkHHRo4XR+8VsQHVUimImL0E4V1lpGMnqZkMEoSNOL09mspByn1+Q8kzkJlnoKW88O4TtVB3l9v67aMFU/qCezo1aKXUqvbhNCisgKmdoCwap+hNwXrhKZKA24x1SnolQcTNQ6hty1A174Et/DzzP9nDYopWThYKIF07hrAZtnAEA2A5iu0CEVr2j7jAIQoaqYv5DyjORHTz0JkFY3Px0YgmHmMxeEJGnf+0v3vImy3PeELW1WYtDCDr5b9Qyk8JCAPGoB3GQgQgXUp6JUHHVibhJLKcNwoqV1UFfwOX50AX/9pY1ddh5Q5zCbqktz4k2406AqWQ2pSGIYHnsseyU03vrolDy5Ry4+/I1+OTKz1BV5ZyeCAZSnonYYFT+rLVBYStrjmmUwjs+kW9H3sJr69AO+u3JokNdI0urjLv4zF5Y7jI/8nkmwoO59Hm+7LLgZTCrix1bq4MvCEBTE9Dp0buw4uG3scceoRRBmEDKMxEqbnS8J57QHbDpA4MeKBsags3PimTwniAZSHvIC6Yfe6fme9TuEOryzWT5Ebu4zTAcqP4TMSHbVbEYbQCAxYvdFUxNxjukPBOh4qZxfvBhOPmKcP342mAz9AwXUy6o18tbfvquLmoRNKgV5qY+Q3zlFCbUJAgJd/WsJ9aHJIeOsKp/0r/f1LffSoauhQsDkKdAIOWZiC12Y2EqGexIue20lwPNzyucA+srhgmntftO5AkRP1j1wlleVGw4v8sYd/mF5s9NDYAA4Dbc5824K3gJTESoC+mdmPFM+zwDr3jK46WXpL/ffBOERIUBKc9EqHAXfhtupqeFx0nBhImYRDdg4Ggs7Ry1GARhjkl7Li2NQA4TSHcucDyuAymDxz2ybTBbk7N5c+DFGNgP33m6rrJhDf6GW1Dc7BBKlUhDyjORFTz1azaDYfLTLzzLEmtEFQDGDPeUQtURuQAtdSWIeLHjyo/RExvQZY23MKmFCCnPRFbwYhWys0S/cNJ7qN/QUNBBJwxuG6Q8EzlAa1vUEhD5iPAYc/vtwHvvAfPnhzZdkc1ZED9lKWMsZ5IqKBztiYDRgY0gAsRNY+wDYxgsO+qXVaGkud4+kWD5cVHCqesi8p3QQtXRyyMBgZmNtWulfx9/DFx4YSgy5FpdTLdJUp6F8W15Zoz1Z4x9wxibyxj7lTH2Z/l4V8bYF4yxhfLfLv7FJXIVEeX0Ajyr+e7UjiseuQuDZr7lQyq5HCA2c8luXjYMbhvU7xUWnAPNwftrEhKdOgEPPRS1FIRbXHWDmzaFIkPJFX8IJV8z/PT7yqU8kfCfWYERhNtGG4BrOOcjAOwB4E+MsREAbgTwFed8GICv5O9EgeFmwaBbttQHF585Jrqz+KJJxmK1Cx0RAd9/D1xxBbBxY9SSiMEY8Ouv6IJwNosIetxv3NKKq68KMzA7ESQiQ83GjUBrq1RX6usRmrJYFY5OHjzyz0/fOlKehfHttsE5Xwtgrfx5C2NsHoC+AI4DcICc7HkAEwDc4Lc8onCorF4Cu7W/773nnIdIV8CQo24bFKuusJk1S/q7PktxagFfDaVT9XLgERfB3LNJWxsav5iIdoftB8hWuEdxGWZgLICLo5WNEEKk++vZE1DvxbXnjuHIIjI2BUWuuYjkC4EuGGSMDQIwBsBUAL1kxRoA1gHoFWRZRI7go11vzVLUHOp6iDgTlxc7vxS3NaE2xL2I/CgRk2//HC8c+Sr2LvoBX3+dOT4WMwKQjMgKckOxay5jMV3zfYnLHfnyjbTbRr50MlkkMOWZMdYRwFsAruSca8KBc845LHQUxtgljLEZjLEZG3Nl+pEgwoIDfWrnebu0sMeBvCXOz3XJEqCxSSxtdV0RXns9XHm8Mmeq9KZ+Dl7AWy9QrNucRKChXIT/aL635UHkF/1L4zvvAF99JXgtRWzyTCDKM2OsBJLi/DLn/G358HrGWG/5fG8AG8yu5Zw/xTkfyzkf26NHjyDEIeJE1C+0gppHbPyHeQrL53kcvOOsZRF5ydChwM8/i6Wt2xpuZFQ/A7+69Y9Z9o5/YYiss2aFpAm7qQX50GXqf8OJJwK/+53YtcoCdaX+58P9yBZBRNtgAJ4BMI9z/oDq1PsAzpU/nwsgi15ARNygRhk+dI8Li7Y2YL2pSSJ79MUqdILYvsP9t8wNWRrvqGet1duRE7nDpwffC8ClvSYP3RW2x3wMwWLB1NpBI8FoEBEliDjPewM4G8Acxtgs+dhNAP4J4A3G2IUAlgM4JYCyiBwlzn1U0IHhS0uBlpZAszRHJzdNuRUW774HbPoOOOT86GS4BXcKpw27C/DVjGPcPxFidIOXEBe532fq6/1VeFD+9KTwteTz7J4gom1MhHXXc7Df/IkcJ+K+6bcFwNAsl7nzTsC06c7pCEIEK6Vw1SqgHYDqcCK/FRSkOkTH118DBx8shZHr3t1/frmvDrtE8K3R1L+bAjZ5hrbnJvKaJtE9JHJw9Jw6VfvdS8fXpQtwxx3ByENEQ7tVC7NWVnF9DfDnP0s7tMUMXz7POdj+84XXb/0VT2A8ZnwXUNB+VwT34FtQGlheIkyfLvX5ov3+I381+ngp+wpQ9XcPKc9EXiO26Uhuvm5feaVWbuENVlQcVfMS3rv9x6BEInyyfIExdIWTUli8JXum546//Qg0NUkbtLikoTEEgVQklor6eZpA2kNk7F71MQCgfNPqQPKL6lFuQM+slnfU7hvw3HPW5ydO1H7vOcEY6oYszd4h5ZnIHkFtBxg0edKBeOkI98X3GC/gG0dkhy1L3ITrzL6awMHw229AstX9oroNIS9uLH36scDyIqUieyiRjry8/JsRVD5xZxusw/z51i/Xv+47XnfE2F8o96ow7liwkPJMhIuqvfIrr4qgeOdugQW8wvi34ccFmh9R2DgpctmMVTt1GsM3E4AP3s+v4ZYMz9ETxQtLkO46/ftm/wckEuL3zTQca/piagFuIeWZCBVl5+Ci2k1YsSL75Vdgi3OiHNUDDsNnmu9uBp+ffwZaWwMWiPCNl1BRM2aGIIgFjU3SIFu7MRvhZNwRWIQbzsnynE1kDTaoex6bmP3ZQnQvA5M3hbTqXGC3LAhIeSayQtc3n0Kr2kKWSgH33APM87abnij9sMoxTU6Ok4xhT/ygPSbYiS5ZAuy8M3DNNcGLRfgjYdIjWz9W6cSmTdkb+Tq1SeHABq2dnLUyRfn006glILygKG45H2ozy29cf8JjOPj724FmsVXx3ETdM4RppbdGYUh5JrJGk3ot1JYtkhb37LORyaPAEOykVVRv8aKDz5Il0t8pU0IUhvCGh8oze04IclhQ2643AKm9hO3D7JbNFLIvJ1EsosH5KkejAK5ek/0yK7auRcnXnzknBEz7FlKVvUPKMxEqg7AMANDaAkyapDqRNjfEofkGK0NUP0mk3FmzgEMOEU9PxJfa2gje0uR2u3YdcMteX2W//CzAObBqDmni2SNOY0HuwduSYumY2bSW7VfCBlKeiazw3vu6A3FyssrBHsPr7RszBihDE57AeOxY/4PzBURWcfNcq7xsqBYQNTXAuOVvRCdAyLyzxz1Ri1BwCOvOK1cCSTuFMZqxpQhiSmxUmO4iqNz0OI3HOQIpz0S0xMTakGt9h9ltE72VXbEZALBHreB0H5E1/DxXIjjKm8jyHEvWrQP+/nfg7bdtEkXTYHphfSTlimM2yFHn4hVSnoloiYFmILwLYcwplPimhERfBLOphBvUkQxy7YVTFGpHWcaNC19dnfR3+fLw5MkxNm8WjLZhGqpO+9WwgJCwhJRnIhrMwgpERJCD5Q7bB5aVLXYzcKJQPxk/3DzXLpCso9kMzaWRL0+VZ2oX0ZDz0TYi4pa/iqX7fpL1JimEe4qjFoAoXDgHkIo+KmeQHcjYscCHgeVmzdAfXsJKD9eNxxPYFosCl4fwyfLlQEmJ+TkHbc4QsjBMVI01sLjKRGHjZgqDMak5cOt3NzPraV1d/KLDBIWfdw7DpfTmKEx8zH9EXvHRR0B9vfX5ujrgqaeBmVnc4MGKoN++o3odELHcjMFP6Y1j4rpbeiEy5/R/YP4Zd5ieo/Esu9D9zi5u+suWZo6nngY+tV2uYXyA++0HDBvmXra4k0oBJRDb7WoPGGOTkpuGd0h5JgJn/nzg6KOBoUOt0/zfE1KHOefnVJaksqYYWdzfOEbU1kUtAaEw+Qfg228tTsZpgMtTR2f1z6rbkp+/Me6IvPw3Nkp/J0+yT6en08/f4Uo86EGqeDN7trlSLEyc+pYcg5RnInC2yDti202T3fE36W9ctohmqeDCDMV1kxTNJjUAemNtiNIQXthisps8jW/+WPvWZPy6z3jhzqZp9oKQJSI0uHTb8MKZeBk7YL6nawuB6J0ncw9SnolIiYte4NZ1owHtQ5JEjAlWVkob7rsveDmIYHn00aglyD/ev+h9TJwE1K4yeTNRUL2hdEOEAbQLGDd9cAW3mTZz0ZVvszoGfoMxIE8nlEKFlGciFMrRiK4ig1BMtGe31r052NE8nwBkCQvycY4/yZRxFJs3D/jttwiEMSEXx1hlxiXZFufWSYjAk5KbX08eTEzlitpVgeSTs9C0lmco2gYROIwBt+N2VKLGMW2utt0RIxgw13g8NXAIIgi/C8DZbaNbNUXZyEVuvakVi29qQxun7toTslktFf3yCsIOkcFATmP3LHN0SIkE5ZaT24Z7yPJMBE5RXbWj4qxM0cU2zqRDR96hg/nxoj9fFoIwYkyYYH++R3VMzJeEJYO2/mo4djUewL24PgJpjOTk9C4pz3nDXNlg0WqzxtvNmFJT40+eXEe5V+k7lqvWrAgg5ZkInOKaKsc0p+AN6UNcG+sP9rFzrd7UO3QrD0MaIWx3rAVZF3KBvdaZP8QO2JplSSzI4SqUStr0NTn5VpBfiAwFmzeLZCRe5vwCXxsa1+E3FyDlmQgegYFICa8TW8vzenufOq76jfXoCAAoKoL022M6EMdULELFppivVevQJKK9xAuq9/GGu3hARcX0MIMkMwNMuIWUZyJ43IxWcXn1dSmHOrLdTfhH5kuEI/Xq1fa/gSWoi4w7W2O+qHObTb9ELYJ7FLcNO8szETkiXWdCQGOJrUEmjsRl/M1BSHkmoiWmjXfqVPvzZlERAEjbx8b0PZ4scHmE5Y4q4RKXqB9uUOq9rc8ztY3IERkKihLOieI5osSYyZPReesaAEBxa2PEwuQOpDwTweNqIIpHV6e3Vsz3EE8/6vHXyeISV6We8MArr0QtQc6QVp7J8pzzJIqc+zDactodM694Hlx+Kx48+72IpckdSHkmIiUuU2yG/tapA1adnzJF16HLo/VE7BOAZOJ0Rq3tebI8E4WIyEsjKVy5QTFFawyUIt6GGTOBKuc1/oQOUp6JSInLoOVWjMWVuwIAfsZOGDpUPqgboxvRzr9gLri8y8umx5ubgWnTQNpzTHnvXfdtYF0we0TgAVwdTEYxRlmQ5hQHnYgIF/1S721Uz7ChAfjqq9i6/uUCiRZy0/AKKc9ECIh3hnHp9ypa3UURqC+uxKV4Ev+HP6Y7f/2vzrZVPYGk6fE//xkYNw5Yuzar4hCCzHvqe9fXvBfQ7GoNKoPJKMbU2k/IEDmEomdXVkJyXXrjDWDhQk1wpLjMZuYCSd2QEfcFy3GClGciUuKiPHdpcWfKGzJE+vvgg0bDiTJNfPxxQUgmTilvNj0+c6b0d0s9WZ7jyDZ18VqFlyyJLlZ5GPTEhqhFIMJgqxz7vLUVy5dnDgc9pPyEMQHnGF9mzcrcVsIeUp4JAsYOd9sVX9umP/IohmnTJKtubELAOYwa5LURUyJ8MJ9/ZjxWVJR9ObIBWSRjjo0lZf16YLvtkFaSmS59oqE+MDFq0VnzfTL2CizvXKBjx6glyA1IeSaCx4UyENfhrCjVans+0daC3XaTfqrSh6cXJim/P8tm9a2JCtPjJalmjMV0irYRU6J8qamsNB7L5VqyZEnUEhBh8Nbrbdhp4f/w+n8lvwIOYPFi4OVXgK2NDImtW9Jp/a6j2Yyuvq7Pdc7Hs1GLkBOQ8kwETk5aON32ty0toYjhB6ufcPjmV3AR/oNejcuyKQ6Rq+Ri+5VJL941gRYM5i7brJ6J3+FL7LPhrfSxDz8E6uuBBfODtVPojQw77wS8gHOCKyDmjIPDJgcEAFKeCQKABwu46g0h7hbdTm3SYsiSlLlPNBEtqQjrT9zrLpH/iNRAZXOURLJNOqDqsDkPV3m+ZDzDcgwMrgAiLyDlmQieXDQ9u+x81Z11xl1DPhDR799550iKJXKMeRiOregAwKqqBlt/c7A3IGJGpp6qOl5VxdIqz/40ab3ynEgA4y/xlSWRh5DyTAROLurOrlcYm/zIqEPVlZdltTiCIIisYurPbAx35AuD8lzEcOSR/vIk8g9SnonIWbgwagmAui3a79XV4teWyUrrQP3MXpYXDFoWl4MvM0R49O0TtQThcRZejFoEIgxsLDKVM74ItKutqDBanglCD1ULInK22y5qCYysWGl/PlmcMfOWt2M48wzggFN6SgciMr2vGXmI7fm2tiwJQsSaLpUcZaXSZ7OqGrUfdKdO3q/dBxOtT8YlqDxhitfH037Jr2i3dG5gcnzV+UTNd1KeCTOoWhCRw5CKWgTXbGrfP/OFMXS84U8ouv6a6AQC0FpmH6Dz1+DGFyJAmvJ8h1y3yngK4QSaJt05nojUj3T0T9WxhPqbyjLg113u3D9Xar7rlWc/L3dE/kDKMxE4bgfLa3FfSJKEx9776H7j6NFAZym4ftSWOyviKlehM31GdGXHZoMfFVXF20QtAhFzamoBvnRp+rs6DKEf1Xn8JcBRR2mPVVZC8+alzNoQhQ0pz0TguPVaGIrF4QgSEkVFQIX5fiRadKaumq5DwhFIVd6SJZIOv1h1S5XHsRN+Drd8whORxFWNn84cKbm4yDlf8Hrvy5AJvRnk4mz9C+WQodrvLYn82r6e8AYpzwQRMFaDQfdu4Zf9/PNAXR3womrdFCkGMYJzYPZsIOXDVcnPtWk55L8mlSPXZygW/kb+GbFl0iTgxx/Nz1n51bS2os+vnwOw3j2w+8R3Vfn4kO/hh41NgrF0m1iFfnhzm8t8FEDkC6Q8E4RLnFQLpaPNdqg6zjN6FS1yiSmzZgGPPQZ88YX3PF591bcY6TqaBT052+1g48wVpsfJ5zl6PjnjBXxx8pPuLvroI3SoXiWc3Fd9Ky83ujL16aOpPKvaDcNb+L33Moi8gIZYgsgSoSsqnJPyHHdqa6W/VVWes2iZNM2/HDE2LvttJyxJYWXiyooVwJIlLi9qaMC334on9/uOZFCeKys1X0eN8lkAkRfQEEsETt67CQj+vmxPf3MOlDXV4q+4E+0bN2W1bEKMzTUJPPc8sHy59zw++DCAemWjYQRdb19iZweanxOMZ9xayNqc+6i9lMye5/sfAJs3B1ee0/j16KPAjqRAFzykPBPBk+fac5zjJQ9cNQn9sAr9l30ftSiECdOmAc3NwCcfe9fqVjnEIHeCc3u3jaCV5xkYG2h+jgThE07Ehs8+c06jeRn1bXq2rv/9+wPl5cDOO/sromsXf9cT0UPKMxEPWlujliAvMLPM5PoCsLwiPTD7GOF9Pk7OWKzdNvzW1wQsTJVkho43Fs9n7Trn+rBS3CXaH1z546+OdsvC4nEiXEh5JuLB+vVRSxAYzeVSvOeGdtoeMs8N8oQLrKIGCF7tq+wkK1FlxTANu6MB7X3laccpp4SWtTmMSYrYhAngDZkdaDzfcs6BNWuCkY2wZMkNT2DdonrjiSz3m7axz+VTfvvy5V3HmB7ffXd/+RLZg5RnInjyWEts1w7YZ2/7NBv67Ix/43IsGvQ73I/s7Tqo3iiAiAHJJDB+PDAxs2V01xWzAPifWfbD1/3OSX9mDHgWF+JpXJw+xgNuv//6l7v0Ceb/7qR+W4Sf//IqGv/zsu+8lr0yGc8PuQPrJ8zznRdhz6T7p0QtQqQbBxVffEFkZauZu+94bP5octRixBpSnol4kCNTquecDYwcaZ/mlFMZFpWNwnkXJLAQw7IjmI48fn/JGVrqmvDkU8DMm99KH6tc/QsAn5Znn8+2udS4w49mGjrgplhc4k7gINyMZvzQiilTgHdeNLFkuuTr51agqRmY/E7+zI7Fid8Wqp63g796NsIe2vadQRVvUUZrx3g4Q38/EXjrchchTgoQUp4JImAGDwaamoAddgD+cmM0MpCfc/Q0NEh/p6iMaemn4kN59vts9crBXnv5yi6W1G+VfmRTg//Fg8qjohfScNh266zMF4d20ZDo6Jhf4KHqAPBEEQAgxYp85p47NG6lhbd2kPJMBI6XQWZTDkRWa+o1yPU1N90UvBxEbqBYXFNJk5M+lGe/Opy6fTImbfr2xP/5zFSwvGzBA1rYJeUhQcpz9LSp/fWt8Kk9mz3nth698TGOxDs9x8tFZLcyPIIrsloeoA35SBgh5ZmIBVu2RC2BM/4tGoGIYQnnSGsNNNBHj/IM0lPNnGPN2ujkUbj66sznbO40GAnqH5YjrmGEHnXljMhtgzG8j+NQW9zNOk0AWFXRjegRToE2WLnIzJwpzawWOqQ8E4QgSRRLH3r2FL5GPQVYlIXWRupBfDBs0z51KubPh/aYF3wO3Pvt5+96t2R9ARZjGVcL1X32rTuT8h09WXgEZvVVUZYDqwI5UJXMfuuaVSn8e+xzuOGs1dkXKGaQ8kzEAlYd4BZRIZFEEXDZZcB11wlfo7ZQFBWHIJQKnuLphWh5a0nMIQyDz7Jl6rOe8w3y0abrSY5WGKv3WEVpDkLZmfSVZGbL0VtUcPh+5CYPurMUfRTD5PXfG3rt6LMMf5dnA7MX/K1L1mNP/IDtJzwZgUTxgpRnIng8jDJlv80JQZBgSbEEsOOOQKdOwteob8U+fZaEIJU5tGAwBujbgea79+cT6LNl4bttuLU8B2LdM1nl5zXfPTDFkBcRY0LweR4+HPjoI+BJWWfc2rGXvzJcVsZsRBkRYfUKswUchQkpzwQhSAr+Vlp3HdE7IEmsMeuTBzQtCL1cwojBdYAF47sZTBzm/FAErX5FGB4WpDvnCD6fk9XL3pFHAh06+MtbwaoNx0VJBsx7qF/O/qf0gdoCKc8EIUrSQ5giTR9ZHLbfhsq/E8CzJ36AVXOqwy2TcEauAz/+ZDgUOelFjQ4C+dlO2K3S6Sb9urKBwhmwhq3uBCFih4hq6ffFSaT+qdO8jRP9FajCSvbXXg2sCHFMZClBa/bliCmkPBOxYEEOGEdnl49zfY26k23e52DD+QP29yORFnXHu+DrNWh950N8fOwTwRVAuEJveZ4zW3UuAnkiw6X27Eb5scraLI8vj3oAzxz/gStZrMpasQKoq/OcFeEG1Y33t629YHEu3Yw+x2Huy3D5O3ptE2G8R9Nz2RMjrpDyTMSC//0vagns+Q3bYW67XX3l0TbYuNvgdtv5ytKI3OGtXS35prE2shREjaI8FxUHMwBGYbX2U2YQ7g6jRrlLbxWbue29Dz3LoM5r4EBg7FjPWREu4FkKVXfcsdJfEeW5X7/QxDCF1rDED1KeiViQC1GgBg1yf41jmNlrr3XMo0N79+WOxmy5TO83dvJkYOVKz5cXPDylvffqON9+hsLWNh8X6xBVbLcWGbf0ziaV55tPjZspFYyFY6HU+6MuXBh4EUSEbLON9FekTZx3Xubz6NHByrF6uwONBxnDmWcABxwQbFl25MKYHCWkPBOB48XSlAtbBL/8svtrHO/Ftts65qF06k4Mm/kqilsbNce6t6zBhg1i1+vZe28h8QhhVJEffORSgQB3FJIrqNNAWVfc1XXWO+8MXHB+MJbnpt6DzU+Y5E2Dfh4T5rMtKwMgZnlW1+mffw5QBs6x3x9NwuAxho4dgfLyAMtywG7xYpwWNkYFKc9E4HgZvBIxr4nddh2Mykr31zlZnkUUC9Hb+csvQHmLzhHTZx/X0uLv+kJGsTybR9sIh++xr6frnKaFvYheXASUlHi82AcVv81Mfzb1ff7SY8Y0cx46Tt1VqCrbv/4FINqoKpZjZwRC0UuoPTFXWYhcJMq30nkYHkqeU7Y53nc+Vtu+OtGvr1j+tbVAbZ02P+r/oiOzYNBIIqQnMwfuNm8Q3TmN+Ri8XUfbcHVvjJlXzppg+3sOOcSdPGYl/QGPY09M9pYRESocDI3/ehQt737s7kLZ8hx1TEIzy3c0Ps80ethByjMROFG+sTbAg4OwAyvRH5x5ayrqfrikxFv5lYfsJpxW72dL/V/0KMrgsKWfp495biM2F1ajC8bt7i3blGooCOLldxpUgrhVRlzcHLN4uZyb7pGS5n5c7U4eGPPaCT/jXDzvKR/CmvLGGmD8eM1unOr7LuLLzsDxwvVz8MFF73mSIRvbydvFajc7xcGAgw5C/YCRIUplKNQSinlOyjNBCOF1dbW6k+k2tNJbJm6UiQB15wPxNYZikY8cChv9s6gLwFXZ8HKk4kFchXbt3OWn1M+tve2d292+Oz6LC/HVIf8EbrstkIHWTR4ffQTY1fwO8BbvmRSG8Om27lfpw7ffpo953RSoapM3GbLynF10zO/jWPQb2Rk49VRs2PWI8GTSQW4b9pDyTMSCOA9M3bsBDzzg7dpgNklxoTwHaHk+Fa/jOvzLewYEgIwld/Fi1TGP9d1pQNt+e2/59u7j5PPsXuBkpy5Anz7eBFIxerS0+NAco1wprvwnPt1NikJ8WLUaSKXMz2XDJTAblmcrODfW2Y9xFLp0JbeNuEHKMxE4+TYQ7bUXXFv0goS3E98TNkjLM+EPOyux5zxtsnzheWDIEPvrd5NjE+sH6F2dQpi7VJ6vvhr48589XaohkQD23ANIFLnL5LXX/JdtIMYv+PnCggXSzMEXX2SOJVJJVYosKM+Cz3noEGCs3G6mYI9AyuZcW/4G9MTuHl2x/Atjfaos1Wh9skAg5ZmIBXEOAt/QzvvexEEM3lvHHSSclnyeCxeRiY2m8s6a78L102U9vv9+oL2y/MBPI1Dqr0WoG6usZ/4oX071P6eolYMFqcNrDlv1jas8SnTtYPNml0II1tffHdcBu54mbXz1Lo53VYRVvTQr2nN0GJ90S1rHOC2mbbrhdR6ZIKyJcMQaNRLAr2JpO3YA6gXcHxf3C3APbQ+4WayYSnLNG/Hm6uDlIcQIoxnY5ZlMWp9TWNtXfPGpmmxG2zBw551Ajx4oKwOam7WnOJitXu84zd/SAhQXk5KdBfiC35zTcJOn6bP+bPLo++yIV18+WBuL9PW1W1egItr9iUxJkupIlmcieCIdiFwU3rGjWLqgtlVWU4XueBvmu6YZcLNgMARXAcIb6ccWZPWxqQvJpAsfX5t0ZiXwbAZiV8dGB4CePQEAZ59lltbfzZ1/yOVYf89/XV1DirY3vv3nD45pzB7nrypjiEi0jSgeT5Azp3FZ/2N3q6kNkPJMFDAr220nlO6664Ivez52wOc4LPB8SXeOD4/dUx9shnV1tmY0EcuzHtGBOqtxni1G5qIi4ADBSaAe2ChU+LffAZ/cPk0sU1ksq8VshD2LFvvXCru0ud8ulTU3+S7XD7Phcv9uuzqbRa3VriTaYZCUZyIEvFg/g2qMYfhOd+/uP4/lGKj5Xg9Bszdc3pskjexxofOT99ic9VDfr7sO7LZbLE8n23hoVitf+bq82C656GzRKXhDuLxmwV00P/lE+kvKszfEJi+CV8oSrc3OiSyYhL2F0j39tE3cZpPfJPoro1RRG23WBJLlmZRnIiYE1Ri9bmYSJjfjLjyg25ih6znHCF/v6t5QrxYbNPGEp0wJvbxkijk+fq/Vw0+78rdeUHXx7bdj436/Dyxz9b1g3FkjViKSkPLskSDe7ETqrzrNjBnods/1nov7abvThNLtuaf1OTPl2fOdCLF/dyUTjTOkPBMxISCTWRyjdmxCdzSjXHPsmefDWaREfVo8+enZn0Ivo6W8k2MafTNTf/8YR2Il+otd6ILArOG9e6Op54CAMtMiEtGha1fpLynP3oikb376aaxd5/3yV18Tk9kuNvQuY8wuENthsJveTSXMDt5MpMnmW9BzDmDjRqApWpeYKCHlmYgFgVmeXXTQcVS0TaEFgzkNA/Dd9wHVNZvH+/uz2jkqqoaqpDrwPo7DXfir6XWxmdAJ0C9FfS8WuthIk5RnbwTx6KprRArKfNywQbNZoWtGjRJLF6S7VFQLBk31/zfM3Z8YODaO/yu23Fq4m2jFpUskiEBws5VrNjupE07IUkFhWCYaGoLPs8DIhvJZUiIgh432/fPPwMcfW12YPbeNBLOW0WDhC8htQx8Czy69l4WZBYnuRokYKxqD6GpUz/Xd93zmJVi/gtqVUF9cXVGXQPL1UjYAy/GEc+Dtd4C3Hl4VrlAxhpRnInCidR2InzW5uhp4/XXv17u5nzyMmy+iWRCWJJCKYa2UUA+Yo0cDRxwBU+t2XMJn6eXwM3vktam0tXkusmCoW7oJL3X+I355cpKr61oC3nvDT3dY0RGBVPyGks6GY7ZGHtW5LQndtSEOrlsTxoDSNTUW5clyiC62zUdIeSaCJ0Lt2W4wFdkFKhVCk6isFLMKBoHAuiexfMj7IzgY0LfRhV+ADTNmBJKNLWaP3o8O4TpUnY113M5n2ww3M1GikPLszM+frsXWrcD3D83MHHQzKxhxKLQTTgBOPBHilmebZJP7n+qqbLu8uoRpiDYp+D0Ly33UzycOkPJMxIIED2YuNB99ntuXJVEk2FKD8nkm5dkbrx3xPD4453/agxzokNoSSP6zfvZ3vchzNUsTpuV5DfroClPJom+jLgVJ2AzyXut4so0ahxNpNwaPN9nXjILnKzP07AGUlzunU7Bz22grKjMcs0yuu1/627fzzuIyuSWRMN65ZKu120ahQ8ozETheGtbA1e6m96zYUiy9mm/Ty9v1CUS3GmguRmi+l5QA+120Hfrv3hvDhwtmElCvpsnm+ecDybMQqP10Mta8+KXmWEsrUB/wfimhYlKF/FhwnS49+0xtgerk+g1T3Lpt2O6S5vJFU0ltZXlet46UCgMub0gvrA9JEI8EYHneZRd36W3rdLYrmGV5VNFJeSbyhk9wBJZV7Ogrj6KigITxgH4qLFnaHsOfvgYoLha3gni19HDr77VT53nKMy+54w7gyy+d0+most4YUJggQ0UrA3QclL1ttxVPa1wwaJ8+0C2GlQWDJpbnZcuA3r2l6kEALW2SarHgt8yxuPjNu0JQaDuF13SHWovkjDkU2ck5HKVXGptMCrZoJG0tMeg4IoaUZyJveA/HuxsQTXqpKJXnHgHsZOjVbWOabodi9X187TUfAuUba9YA//ufc7oQ+Hm2QCKHwV6kffTuLf098t4D3F3oTSRgt900X5eXbeciM4ffG4IVr81kKnvVKmAXzMQ/7yjcuLdqKuS1Z/36ZO5VrrjJecGujpvtrGjltlFSostLn7BfP9ey+cKijbRauHMUEqQ8E4HjSYELqC26sW6Y9QvHHReMHF7YonOLLfawyNBrtA197FqKZVsYmLWXY48FTjwB6D/+qPSxFEJ8qzzySM3Xhe1GWyZ1qTvbKsieo22YKA4lVWtxCZ7CeXjOW6Z5hjJDUGZ0980N3G4p7zJU3ZAhxmN77WWMK11W6irbwLEay4tBq2ZJeSZiQVCxU0880frc4YeZLE7S0TV7YTUNDN9B21GdcLyHTLwuGHRYqEJIbNgAbA0gFq3elzcs9Kvz9a5BZmKUDu6LHj0AFBenjyU6G8NY9d4mCAnhLgqDQUmxv7YoZR37zOsjaDEJz8VapYPdEIB/Th6QfqS52pH89a/A73/vnE7GMeqLqp6ecDxQMbCr5nxRAthxlLF9Hn1sxNZ6kedXUxO6GHGElGcicLx0l7/ODaBcDvTtK31eVzbQcL5XL+Bu/CX9PW4+ePp9KCorM5932EEwE4+DVddv3gR+ymwhbbA4rF3rKd984513LTfdiiWeqvillwJXXw20b58+ZDb1vOeensWyRWnDQWDnKuB6waCcvNXE31M5RyG8JPxG24icfv2AQw8NJevq352M+n66Dl1VTdUviIMHhSKCKWZtpa2N46abHC40e5ssAEh5JgInW1Y1t3AOtKIUrShJfzdwwAFZlUmDzW3rcI6YFcTr4N3y8ZeovvuJjCh6xYJ2GUyTS2NFdbHWkd5ue+407doB228fnlAyf8TjuBoPGI6ffLL1NXrLcxhxnC2R71WriTE7xSU5+mNl9uSJMyzCBakRlOnktqFWTJv7Gn020md7eQwTFQBWLiKz7/4wu4LkCKQ8E/mF3+25Tz89OFlMGLYtMHKE+bniNpvFRgcdJJT/uO6LPUgFTJ4MvKFaB0c+z/mCeXsIQufccK5ZGAFxUihCAzoYjtsqIjrBHV2ebazLXhfXtjSbWJ4Diq+eL2QeEzc5FnbhWSpHXaTPMkeMAPDoo0D3AFaNB8wx+EA4bVUV8OOPIQoTI0h5JgInCmtDRUf3ZUex+vugg4B99jE/V9G0UXvg8sszn4uL8RzOc8x/bkBR5UgZCJesTe9bjOoxnRwCoFWe9W3U7Q6DdmZIzz7PZspzjO9nFCjPUD0LOXWaeH/73Vct6Mk2eNvNMYaWZ21iY9pxeyC9DW1k7oR2BQsuStptN2DXXQOSJ+aQ8kzkBUccIZ420pBJe+wB7L236anVHXVT5bol2cth9OMOC4PyTNpBrFFckfTo3RoMTzHMEHQBYFCe9W4bDm3ZzoXM6wuimc8zzdRYoLr/tXXil43FDNyJW9DamB9RHRzraQwtzhpsFgWuV+1rU72sBsMRwAKmHKDYOQlBxB+zBU169OPo0vYjsUO2G/r551ufi5GCKuQbS3gm6Be4e3ADLjM5zmBuiAtC8RVpc56wEc4Yqs7+h7S0wDTInqfqLF9k5vNOyrMW5SXHb7fBeG7cWDc+z4BJtb32WvOTcYn1Z/Mg1bMDN+Ef6IxaAE+GL1PEkOWZCJw461lXXJH5PLvzvvgKB0cnjI443bdUMkbC5CFBu200oL3pca4L4aJYYoOoa2G5nmjdNvQn3Wn9RSuWmB5/8knv94Asz84kimS3jQKJPuKmWpoq2p07mye+4AJvAgXM4oXWFVzt0SEpzoUBKc9E8MRJC9Tx8MPa7/XoGI0gJgwdan/+qSy+zJPPc/QMGiSeVtSSrTTNIKJU6JWARrTznSeg/S1ObhtemTzZe6g6vc/zgAHARx8FIlb+oNQvn2OBl+cdxYuM3+akvl6TV4jbcevZaWfrc2YvjArJVMxivmYJUp6JwIlCd64+7yrNd7POTLGCKAPy2WfZC9qA9piDHYMRUIB+/e07of4DstdJ6RWLXArPli8s7babcyIHrJTkz0uOls5X2A/OH+AYy3OGxXvgmIWd8TpOFZJtwgTg5pud87U951FrGbpxivdoG6q2wDmwZWU13n+zGUD0O8LFBbNNUkpgvWGNJR4Gk0he+x3qod4CX9xg4wCehcUEe4wzHttzD5sLbJ7D3MJwcTZAyjORFyS76+NjmqyI101hn3YacIZNZLoHcRUeM/UkDYf6waOcE2UJfV/5/vvRyFHQBPAWajUMTy3eG5fiyfQKfyv2PbrSOm+dVbBjB+AJ/AHfQCys4v77A3//u/bYqzjd1toYVJznAZtneboOAMp/mZEpnwP/xI34Mx62uaLwYEVSX6uuwvtgYkTShI+6Gjah3DFt2aY1IUtkz/DhJgftmpJNXzTrmZm+5clFSHkm8gIRPSPlsrpnOypHsp1xC2QNFuKMvyR4WfQ+z2R5zj5uFEOrump1XDRru50t+9jvdO+JWmh9P8NqgxzM87tJu6bq9GfF37MY0qqpZmonAMzjPHshxh6AGtQvdSswwDF9U0/rNLEMVWfzIHZd8U4IwsQfUp6JwIlmVynnQnnCbN29TfooQ9qZUJLF2Dj626nsoEZkDzc7dXayeu+ysOL6baPnn6/ZvTtYVGE8hm2rO+c+0LMlXt02BgzO9CPJthzR7rJN2uc5WjGyhdtqyIt1Mz4hacwH7G9RfmWl4ZitBDaO5M3NrkTKG0h5JvKCtD+zTWdd3UkbJ9mpv+pSCfxebFfsQHBSaHoMsdCQbrkleFl0ikWhLgqJEjeRCj7/3DqXMCgtgbSNtwoO4NRTgQeMO267Qt0uf3eI7pzhZcCH8uxRsUsVZRSfpsYC0Q694vMtLWcWLqsqrZnRZdRIXVq7++JBkX4Xx+NlnGk43t/CwN16zV+MB23cpezENduuvhAg5ZkInghMz8bFS1pexpmo7qY3Y9mL+tY7Cbz5pn/ZgqLH4I44afkD6KgPENKvX+Bl6QctTzt9ET4Rb0eKHtvQVVcXLIIxi47PZopAly4A/vQnU7+N114DrrrKcNgVpfKiu/btgaIih/i4Hi12nPvYYbBTZkOLmrnR+q7GlUy9yRHl1yfqajjcxNVJvy9Ww8DhWIV+eAKX4jWcZhNuQ4xlGGS6iZZVTh0qjWsdUsd7sxTlimtN0JDyTOQHDi14CypcN/Js+56JlNdtQAccf1z4suiVZ4pjG3PkytPasYu0EFBGr/ym4G7zCjPrN2MAdjRGoQmiuVx/HbDzGIY99gBOOslEHpc7DNriskNQ2kRbScbinmqht0ozlOfi5Hq0cmU2pAkfdd9tWid19yFVWo6/4xbMwhhMwIHapC7dCwHgH3/n+L/HxdIWJczHGr7rWMtr7GbBNlcbjxXCPgGkPBMFR7pjdxh3g4opGzQOARICgXyew0XEJcONz7NwuUFF8DBpPEFI27uP1O52Gg20KzeWE6jl2aNLQKot8yZJPs/2OFW3ww93uD5H3DbUY4VplVQdc5rFa+7Z33X5vXsDgwfbl6shZHMxKc+CMMaeZYxtYIz9ojrWlTH2BWNsofy3SxBlEfEnig5PSBlxOc7GVXnOxjpG/TMcPTr8MguJbE11+o22YSbo0FHBbIZiXh7cBXr22Ba8RNtQZl/UbSNvlWfOgTqbWMQClwNA+1S9bbrGTQ2ey4gVTnGeVZUtmbQIFSeYlxssczKxwIgU21cwwo76BTNfCcry/BwA/TvkjQC+4pwPA/CV/D3efPgh8NJLUUtBeEBRnpu798Vv2A5f9DQunnA7WCaKYqo8ZwG98tyhQ0SCFDBu6quwD7OccKw8Q1squqmHqoCRu2exMuh2WAtswSDnrvuD9O6MyYxi0NaSp0rCJ58A110HbNrkK5uKZI3t+fMb7X0NcsbybFENO1TI8a4v/UP6WCIhLVMJ8gXa7j5NwAHGg2VlhkMeI9Whv8mSm7x9qVQRiPLMOf8OwGbd4eMAPC9/fh7A8UGUFSYTb/gAX972fdRiEB5IW9iKi/EArsG68kECF9k38GxbnoUNDt26O6fxid7HuRCm4bKJyLN2E23DCoPlWc7yzTelLaorHEKLK01EI2/YiwHU+V99teUp36K49XlWlGeVojLrxzxVnufMkf7W1Hi6PH2vHNL14us85R83zNrH8zgXZ9U8Jh3aeafM6RDGFas1Kc3nXIz10G4g5ns2SkXnTqZ6OFmefdKLc75W/rwOgH4LOAAAY+wSxtgMxtiMjRs3hiiOM7/OBRYviVSEvCCK1bciHZIil7JZipNyUtSwxbdcYdDy5+tCL6Nhq/be5IoFKFcQaSMJJn7PRQfkjd2kUAAVFcCeezqnr+ozGg1oj4X9Mouawnyp1NyXQYOArl0154PS2730UYrFWW15nv9rMhiBYsaWLcDPP/vvy2sS3WzPp5i9CpIr/Y6Zz3O79ol0tBurequr3p6xek6pbbfDOeeYFz5ypOlhVwVYRd0rBGNLVhYMcs45LF5COedPcc7Hcs7H9ujRIxviEHlIqqM0vSvS2T+Aa/AZDjPEqdXDuwTUswmilv2cc6zTsY7hT5tfczUpz1FTefIhzokseABX4xvdKv4r8AjW9drJ4gpzmso642o8iNqK4MMhaspRb2lsEV4PQGDac1nbVvduG3IbULcF3pafyvPLLwNTpgK/LfS+IBMQWWhsfz6Xw6CJhGycOVMK76hm0KDgZGAJJoWWNKFI18xEmtbSDqMM15gNDak6e1/3fCBM5Xk9Y6w3AMh/N4RYFhEnAu7xWmEdXqIeHaXQXDrnTbOOoJtsBFnN+uEdnGjZWzRCUqodjCKBwxhwL67Hf3AR2j3zmH3CkJk3R7skPJcHsTgi8gjHHCS+xlrJb5ttpL+/YXu8jtM0aVpQ5nmRnFqf5aOMYer8Mh+q4LiKOW733R2vU36vW5pmL3D9QpjeiEllee7Zzag8r1sHLF3qTa64oGz+Yhmics0aYIP1kC7qchS3XVy94hi5SR3GuTGzSHLQIGljITWmUTMc4CluKoObocLW51luK/rnyhKZmVw1Jc/8n3jBOUqY6sH7AM6VP58L4L0QyyLymHbl9uevu865wzlgf2lfBzVWnUU7NAIAEqnsW5WWYChmYDeg2Hov7mzEnz6x6WXNd7I8B0vgLyNypdh/f+DLL4Fx44LJVsnn0EMzx1LHZAKNX4978c8A1oJrlKhOnYDHHgMOOsiQTu8yctRRfgo1fwi77mKRXtYkF//alD7Ubxtj3LHevTmGDPEhV4yw7GvuuMN2Z9O0z7NDPXdSnnOl31HXSx5yB73f73tiW91+X1b3mTETNyv5azJRYkjrhL6Y9aUDsLyjbI1+LGPwYevyw5fdjqBC1b0K4AcA2zPGVjHGLgTwTwCHMMYWAvid/J0g3GPTqNu3A+69N9Pwe/aU/u6iGwCPOw4oMok9b9c1J5DlRQ8xMu8OaV0QtQiEC9QD38EHA19/Daxa5f9Fa9w4oL4eOOYY1UGVGboOnbEOHs2/JqSbQHGxufC6Y3YeHsJlCVLRUba+vZKJyJS/m6QoK0U9XNrWhs6TPg5EiuLPg8knbDSW5ZDLGv7CX3DwVzdrjnkZOuYPPEzz3UtfwRIsPRNT/8Ps9PFVy/PTnUmNtXnLBZzz0y1OHRxE/kRuEaUOOHw4MH06sNNOwLMPZY5by2TdY2R7h0EAOOQQ4Isv7NNkQy69RShXLEC5QtDPUJ9f+/bSvyCmxfVhCqNoF1b4kcXOWmdGWYnxZTrValQSemKDPHs1yLtwUZO+Nx5u8Lffov2Cn+R8/PUbDT/lzkt8M8pQhmbHSul7fGzfPmMlUvK06J9ZggW7wFdXzKo1DE3rpIMvqyYrv/6aY1hwpcaSQJRnggiTRUU7YBDmCKdXYtiuRW/0xlrLdI4DbwRawmefCSTKglx63zZSnvODGE1uaCgvA9AM9+EjfbQF13XaxAE4aaI8/w23yp+eNJzLFZQ7Y6V4bdkizeS1NzvZ0pK+3m91++59k72fY4irahhC/825xURNggnvV2ArlkW7HIRlyPYEbVyg7bmJwAl6gH6h/BLLc3YLUxIW55z6rqYO4cdRtoIxd4tPwqIYtGAwTBg43noLGDo0oPwE60THjsGXpSzonVViv8BPZyzTMEw2U5m5VtnCOU44weU1gpToTEtmbWD+L/k5Pa3siGdVr155FXhRYD+xkrpNaKxuck5oQXlbbkRtMIvznFWDA+emFVRkPFGnFSpHRd8+QGUl0NoqVkY+QcozETxBR9tgotugaamszHwu37wm/dlKvEUQXIURMKJbnqaJwCJOlufgueQSYElQceWt6oTq8D//CVx7bQBF6ayRSRTjSjyEd9tZee8BZ50JHHnrWMvzSlNz8mE2/MxttkFPjxFOrZr3guHHAwAqdcFOGjsaC5r0fX4qz35obGL4XrXX2JuHPmWZNl+ibajhzH4fgUB+c1Jb78wiXgAWCwZN2G47b2KUlEgh79reeMtbBjkMKc9EQVBaV+WYZgUGAMh0btm2tgZqIQiIdFFkeg4UDoYxqZm4CzcFkp91ncicuOEG893A/LDbbtLfJrRLKw1mdHjpSZT96WLL8ymPyjM/8CDPbwRWL4RtSfP2ryhDPffNhNWrrLBRni3jvMWf9M6SHvxl3/+AaXb1blpq7TqXTxSXBNcx7747MHCgTQLGsOMoYNzu0pqEsbtZ7xpo2TeoTnRz2tLAInwKY7JrzmefO2SQf5DyTAROLPUsVUdh1Zkceqh0YvRl+6GoCOgywGHv4jxmjz2kv4cfLv0ly3OwMHCc1PwSumGTc+KYoW4/U6cCK1f6z/OsM4Httwd2dwqxp2u8LMEyPh9useio3n5HKqNK976tJK/pkomLeciBNsqzx7nsVAp4553c1b1ddRX5Z3jO1FEfA+GYnYHDD7NJ0L499nrpj9j52AE460ygc2eLcY0xoZA0OzqFbrf4LUu67IrmJqClxbGIvIOUZyJwRAPkW7H/ftrvXvsg9fTYlr4Za9ETTwBduhj7lGHy1NVB/zwUF7U9ifIu9jsQBsUgeSzuJ7iJW1Ysz4rlSS7roouBW2+1Tk7oaBMJYRbcg7SqE2FPi7vxqbSja1cpFrvez9hQXsJEeRZEHzXEioYmKc8aVGqOp/shVYfUuNVGw/UYR+8//wFOPFH6Gx3e+3ChJ1JbK6d1DASdMyi/O93mLAauwIxLO+2UeXGsqDDdmdC0berK33MP5zbMwbB5M7BY52bGi4qxtQF47XVRofMHUp6J2LHDDs5pFJy3f5WoHprxt7z4YmDzZnnKSe5Ihm0L7LdfNGaQkSOA888H+vYVvCAL2vOmnsPlspQ/HHfeGXqx+YPa6dOCQBXbLPryBBr6Kp1p+PJXdMzsMgpYKzHKc6mHbnWlfAFXXVi6aK51gR5Nx2vWAJ1Qi9WrPV0eCOkFg16etciznD9fKKuVq9wXHxXK5ihOynOgnHiitA/4gAEoLTFfMKh/Hl6l+vZb4zGr+tHR5EW1uRlo8r52NHaQ8kwETjbdNoR3c3KwAnWu9C+LV9jFF6G0BMLaczb0pOquQzVlbYtF6Igt4RecLwhM2QepPFuuF8wVPfe004B99wVGjw5PFqa1ilq5Iu2yi5UZX06vuq54+SLr8jx2hN2r5uNeXI/ea3/0dH2QBPWsZUNzBuVFJA/9Nhx/k0i9uPVW4I9/dE5XXGxrbWIJZlyL4KVaco7ihjoMxzzN4e5V5i9BZrOolZWSe0m+QMozEXuef97bdeqOX2gc+93vvBXkl912A558EugeXYg8A/INaxwgdcxH4BPcgHuilCin+HGm03Q0d3zxi9NmJBp0gvXpI43zH/vZDK5zZ+Css2y3pTcp2hW1JT002rO6T1BbypTFV/ooHqJbTvulc+0KAEDl5qBCsbgn6J940UUBZxhDhKumSAXq21dyy3BDe2PUbbP2oi+dA8YteQ0XcWzz40eGw5uW1FglN9CUZ77RpDyb8POEajTU5eu2q+Hje3D52980X488UvX5COCIw9VlBRAAHsCSYYdLjtA5QHZ8njk4GDbtlwmi2wMbs1BwDpFKGUJGKawSmG4O0uqWTQuevv4xBjz2mPuxPojC3bSFupJu2FhiPrujNkKn87T06xDr4JRti92SngqPcOU1T3p329Bfwzmwbl0gYsUaxX/bKmxc6PTqZTjEEsZFCaZ+5ttuazymgk+Zgh8fmCAsir7qcg5cgYdxI+4WziPukPJswpQDb8R/938uajFyhx9+kJyIg8KkE1Do//I/MeBV9xZQxwURObQwJRvas59QVQXDXXeJTa1akI9T1tnGVf3U6RFqtw2u1nNlFy9DWLyUO9OzxXuVMFF2SdU10t8f3XiOtLUBVVWm9dqw+U1OdbhiKErpqk4jAAD1XQdozi/A9lmXCYDRZVF369cNGAccdJBtFlM+qXFV5NIuWkt2ayswAnOlHQnzBFKeLShbMDtqEXKD1lbgueeA++/PHAuzY+zSRbP7ybqE2x1GtGztIG17trWjtcIeN7JheU5vWiG4tWtBYmNeFmkC2QmaEnwpfurfzbjLX9k+Xub0V6qV543MbKcVf9ESWpq99YPp3xiD8JD6cH22vPoqcPPNKGnZajhVwvJ/JjfBpDewhZ3H4ko8hPpu2kDNSjSMbL43MAbTKBzSSelPY/tugQ8qzaxc8z0P35VIeSZ8orQK1YqQMBrKTxiD13Ca4fhz5Zf6ynfNNrvgHtyA1QP29JVPXlFTAyST4GCkPHskV2P0CuFjoN0En379ZnGeXVxqtQ4imUpoE9ogGvPcq/IcB2d3xYrqqv3LETRK2hoNp/bf+Kb2gBLNw5t4sWRiiWS9TSZK0ARjmNMofitLMAwfYRVtw4VEJoP6MBtPD73LUj72h6Q8W5CHL0rhYNLRV37lf6vO+3GN5vuTuBQTcKAhXQMXi8U8fLjFCcawFENiMWCJEqaobbVb8dVuN6DLtM8AeA5VWxBs3ChvEDJlCoBorSv5aNkxI6y636XSJMyX7rtbt422Vo+W57TLc/QP1VX7l30zWMror9KlRev0vGCBH6niyYclJ+BSPBGdz7MJZqHqvGBWFW2zTZHyTBC2zJ4NzPwRmtb1/asBbDkmSA+z2VYTto/I3SzXWDCrEYsWZYLhmy3+KVhkJVnh7XeAjz8BMGkSAClgikIQ9ymH3udccTf+godwpbeLfdwUxoCURbiN087N7Fuejh1v0J7dKc+tLT4tzxG6bRQlpLJdLQK1UZ71LF0KYNkyVKayv8NmHTphOnYLPF+pr2SO1SOrbhsmCwa90GvrYlfp9ZbnfBw3SHm2Ig8fdhjstRcwYwawfDmk6f6HH85q+V98kdXiYkGYSlVxaaZL4GAGy1M+hRpyS9vHn5keVwaGZ/4wPdDyXD3nLIxOrSgJJJ/lGIT5sJoKskcdKWAHly/E+tCA6lvW4do/qAphcln+8LylfQzempQ122Xl9rKs+zyzNmjNhiK8+y7Q1iJgZuQca/98N7ZEEDp+OnbDMwg+dl5HeU8dy5jrUSgVJluAHn209NfNeoiytgbDMdtfo+uPPLeFGEPKswWpvPLG8s/BBwNvvmk8flTL2wCAzz5NAR99BMy12XErBAYMsD4XSWeV45SU6ZRnnc9jPk6/ifLhB+bHJ0+W/o7D1OwJo4MXmyu2Qeph/8BNeBsn+sp0+fJgZGnfHth/f7iShcF8k5SDDoJm68HtTxwJACg7eB/N9YobhagikEr6c9uIhbnOQYbPH/0t/fmjjxnWbwCWLnGWm3Pg/fd9S+eJvfcW3uDQFV9+Cdx9dyZcv+Wty/bLka68vtecHnqRBp9nj20hzpDybAGLQ8cVI0q+/hTXnrzMcPwgfA0AKEIqFhYTt+TiY86W5Rkwum3kYycoyuKlqntTU5P+OG+eMa0TQb/Y8dIy50Q+WYs++ByH+crD7mVXBN6xAu/hOE/XWrUb/cz2Tgd1w3j+JEYcOQiAKvy7y01SvFrbstGNzp4N/PKLjQxmP3LuXOBf/9K8QavrcUVbDQCgvK1ec1nc+tgO7cNx49t2W+DGG2MWFpUxoH9/7bH99tMmEeiLlpm89K7oOgYjRlhckCK3jYKlFM3ABx/k51P3wAl4B3+xC3DOgBUrGZ59NpjycmS/krxD76ahHwhSTQXst6G6GVXTjLu/7Yg52ZQmTUHFi2YMn+BIcA9DF2dMu8Ogk3Krc99Ixz7nYtMvXl80lecZ5oLBnXYCdtzR3TVtT/4H9bMWAY3GaBoA0D5ZBwAYWG+jlStEuQFMyEX/8Y9SP3rEEdrjkdmWVLMqAAIThAMYcJR5JdK3rVRb/k1ZkvJsBQfw4YeIxCkrB2EAPvsMaA0onOdDDwaTD+EdBpNQYF7MrPmC6l789ptNOgD9F31je56DOSq9vKRUXDSrnjxP9er00OwiHITV+r9l+51jq08oZQ378TXNdU7E2fKcQBIMYr7JCp9+zPHyK9JeKCan07Q0i2Sbv0apMWOkDXL69TM/H+ZPP+xQ3VqAkCtT/d6Hm58gyzNBREMQbV4kD2Ua2aqjizu77uKcxg3qTo6DGZTn5e/+FGyBOQRzUSnLGqrt8xKYKuUVnYTLy0ZIQR+bKQaG8giSKNYc/whHCV+rkK7rxcWGtEDmxbElIW34IAdVATgX6lt8uziFqHHcgxtwH661PK/UT7UIS+TJFrXyzEyiBq/fYJKh/qfkoTLlRHrmIkR9dtAgYB+1q77LwqZiHNpg3h7MKCo2z3/gFu3sQz66+5HyLJOPb0ZBEcm90TX6mTOBFSuCL+bii6WFK+eeG3ze2WDs2GDz01jLTGKEPvhA/k2/pVm1KrBwIvX19uc5h61V+Flc4GrcEw3Z6IfHHotPP/lIh78Axx+ffmtYD/c7hJaulRw5ne5zQ6JC851zzSSENV5vVhZMzxXYgg4w7gRoh9NMyZq1LvKKST3KJivbbQcASHWqDLcgp+qTdkeSX5BUFzxQfQESB+wvXJTVJjqGdyWKtpG/6KMI5N+j9o5QRxd0f68rdJddjOsegiCRAI45JifXOoYD11qS9PclITLVm4s0NQF33gk884x1GguNqaVFCteoZo6A26cdN91SjPJy53SAtfUnH1HCge1ydB+jU6kTjCGh8ldufu9TADZKoVWnwLlQf+fZ2pbeJcXb5UHipPQIK8FWPjMRwFk0as/3nY/GLbgTbd3cv+gJc845wIiRme+2A5vxGVRWAiUuIlJa9T36ZQHqtpBszY8xhJRnGX1bbmkBPvyosOPaRgkps4JYbp3oH86Mbhvpadrm5vzaJkxp6IuNmwGkUsBubDpSGzMbOqjr57IlSRy62+ZAxamsBHr3FksruH4tL+jUCVi2DHjiCffXMgZ07ZLp6D/7VLpxbrb4BuA8baAk8+vzHKGCaea2YfaTS9oaga0CFuwYvAgopBLibglBwsGwET3DdbHae2/wy68wHD7S7j1Tv+W9aHPgQLfu5onXb9BuT69uCxumLRMsIN6Q8ixj1k+tXp1f+oFXRPpwBgSr8ZL2LMbllweanfZZM2vL84svAg88AFRVBVp+VLS2Mbz7rrzdtkJNDXDttWhdsRYX4T+ogPni4aFYjLvxl2yIaUquxaR/4QXg3nu9Xz9wIFCqW0s50ipklo4jDlfNrMjTjZZdjY3lOSVgvfSr+8bBtcHsBYDN/TX9ueeiycDVV9vnYfI7oowQs65yh0jKzYbPswG5sHbtjadSbZJA+v7DTX/SudI67euvZR682vI8882lwvnHGVKeZaym2EiHE3fb2H6NfYQBIgTkLXGDQu/zrLfKKcpz05I1kqLZ1BRo+VGxcqVkLfnsM9Xv/+knYMsWFH0/ISKpxLBrn22J8OM/u+Xss4Hrrgs2z4MPdk7DGFBcpBrQuX3nnu77TXYmFAqV53FHoTiMOcpdMqtbS97P+CQtEt21OQa/CQCuwCNY3yUa5XnffaW/PXuGW45o/Vm2TPpb7WPSjDUadx5UWPSbqv6rKlKq1Xn79lyAlOeaGuDWW41Oi0QaYctzzCio+LcBwbW6s6En3gk/AwDefIvh40+AdeuyJ1tWUEcb4cDatfGwANphJ9+nvXJ0JaxLhgwRSMQYkheNNz1ukdwczpESGDpzeXtuu03CvvvOfX7c4UUlW7Qg8zJZg0oAwAb0xBTsEXrZd98tRfoUqqsBs/G86w3HdthBesYdK7TPpksXsWfFwIFhwyzPqw2SGp/npOQl9/rr8e9b7SDlOZUC1q+39NtKMH9Pl3PgxBOBzz/3lU2k5HIFJ7zDTdw2FBRvja31+VE5lN+pDr01YQLw/gfANxOyL4+bNmf3kthYXGF5Lp/Ycw+O0061T8MSAHqpFmvJN9mL24bIi7lvtw1/l/srWy7c9AXApXIveYjHr59ohbQy7t+4HM/h/NDLKy4GdsiC0dvs8STLjH4bRbJuo58gOf4EhoMOFCzMZuazU8dMxuq2kEpJa7PPOC0Z2RbtQUDKs1zTLN02fDb6tjZg3TuTce4RZsEvcwMhC4pgf9qju/35Omhj25L1OLt887XKJ9TEbSN9Tg5R1BbQpjiRYzLirFkj/V1nEoIrbONgUMpGDIyY2SGVQufO9kn00WPSA7pLy7PktiGgPCf9reS0s/6Gj3XZnsSKST089lhpohmIp0KfTRS3fb37UnGxrUE5zbHHwbaDOazr9PRn9Q6DnHNg9mw8jj+iadEqVzLHCVKeFSx6hCBWxp6L5/GX1N/9ZxRzVgq0g8MOA0443vr8/bgGQKZNLsZQ03T/wE34H062LavQO0cvPHWddus8K+W5QZ6oqa/L31AP6YhhYcQo5dl5LTz66CwUEgdEfctUg73yBCyVZKsnxDnKysN/enHQnQ1uXPAgF4+P28Z77xmj2OSbgcasPpsdU7p2J99/K7p2kf6eeab5+ZLqjMFQX2f6bZ4NAKjYuMRT2XGAlGe5VllZCfwqYEqlKYPAnqUxRUR5YHDeGAIAikvsF0yIdmQrMBBf4XdCaQlxzsd/05/NQtUp1DdIx0/8fVbEyhqmNd1MW4iRSdeuzTgEQsgfBBbnMav67PZZco7iMueFurkcqk4pO4gXR7McYuEK2LUbAOCRx4oxa1a0okSB4pJq9Sy6dXXIoEzyH7dbG6CgmdnnmYtYDsfZJOVZxqqTCMLnOdcJcpOU5Fj7hRl6RWDIYLF87ZiG3f1nUoCYbZKi58jSr7IiS9jYxfo1rf8hN+xff3VOI0KMdPxwEbI8m/vwW92j9MyDyb7ezYl2jsWpp6pdEYOHptzN4poq1THlhpjc6zfesM0vBj/JwKudxuNpXIzdD+uCnXaKWprgEL3XiruyYaMT2f/phBMdMjjtNABAw9W3mJ9PmUfb2G47ZBbc5rCCRMqzYnm2esP2+XBzuG6kCXLauu3EUwLLywmlE/kscWTWyswn7CzPykC6W2pqNkUKHdOZppAasZ3FWGQWR2EcvRsCI5wDPXfr5m5DFDuf5zBJyxip5Vn60+G1/6gOmd+QuXMBfGXzEs3jOQ6+8FYHDDttLAYNilqSaDj6KI7ROwK/188eHnQQcOGFKHLSDttLixBZpflig+ZufdKf1Zbnlr6D040rl3esJeU5bOU5D/Z0F3XbEML1Sm3/JotPPvGdRew54vDg87SzPCvPpTVfFgyakLY8mvQBTc3+6mVQykSP7sBuuwWTV07TvTvw5JO2SY4+2sIf1MsOgwLXCPX9nEthXdy8LTmwctpa/PqGv6kLRfIJE5CJRGWh038/USyvuLHLLsCrrwYeKj9nKCvl2HNPoLydri4nEsDu1m/kgwcBv1N7TOoWhnWplP62ds5EB1C3hRRYZpOhOL5VCVLwynNrK1BbB7TMMd9K0GOc+zQ5XDdc0Si4VwZjAE62Xuj3ycf6I/5vYHm57yxiSTvV7xowIIQCbKJtdIDAlry5iKmLhvHQBx/4K4aBBxKBgAPAIYf4z6gAKCrSKs+OVi/FL1N/PMDtufnadZhz86toePhpVbnSnw3rOW6/tt71GPLxuNsx8dRH3F2kQxPpY8oUSVZlgaVJg6i36w648aUljm4cBUc72fXI5QC542hgqCpWdaJI+zCVaJAahVnt85zKxEknn+ccZt16htdeA1Z9Zv6mXvrbL0Bjo+f8HTvQP/0JePBBz/lng8BfAH5nvdDPbrtPIsORR+gW650ShjuMtdtGD2wMobzoUH6n+QJh47HBnX1syxUgm4q3AY47zjbNHbgNN+EfWZIo3qjrc/fUevmg+01SRLS/iy507jjnzwcmTwbe/W+14VzHX35A7/uvwa/fbXLMJ2g0kusGALPx4OWX7fPTb/lcKEaluGBaXQ85RBo39tvPXV6673rleXW30caLDA88Bq5JPil45bm0VPq7erX5+Y2PvIqtD9pPB9rhpDyvXNaG2qnz5cQcWLIkdhUqm64nZJEQo39/oGMH1QGR/Yk9UDDPw6TNZULVGZMfUDHTb4Gu5fHKWvTBZnQLLL+c5dRTNfW5rVX667hgUKUu/PwzMHuOWHGbNnFMdHBpaEtKeWu9NrQCNa2IYI8AdfXzOf0a5uhxHf4VYu75g2l3UlwsjRtW8XhvuMH0cGsrpAFIRq88N5ZVGgpVW57VcdLJ8pzDKA/eKkbxjz8BHz1tskuCIE6K58cfA6+9Ln2u+XIGvjn8HjR8E69FWEHq8k7KmKiP84IFwDvvBCBQLtOlS6jZ222Skq+IhqrbvP2eocpRnGoRSkexzF3QXbtDk+Kv76aO77yz4nLjfA0Dxw8/OCRSQsKp+j191q+c8wlWTl9nm82rrwKHHuookjimnb5Ha2GIVXQLOmEN+jgnLHS8DOIW+4hPO+Rm4K9/TX9PprQVlplUE83nFAeXfZ6L2nI3hC8pz0XOnWDdFob164HFi93nb1dnN+tmfv/3+Eb8thD48iX7jjLbWL0ANAn6OWsQNWWmY52an95uO+D44z2Uny/cdBNw882hFsEt3DZa3/0o1HKzzfr1wNKl1ufN2nCyuMx3uXY7yPWqnuc7/0Kkr4MeZdb9WD0GRaH1GuabgWvSbdkCfPihsRR1WWZ5b48FeHf3u2zLOuMM4IsvnGUSRf1S1rCV46cpzeiEWulAANaUZGvuWhxzEaVOdXWK3SxAa1KrNlZ0ElCedftoKMpzxQYPSlVMKHjlWXSl7TbbANtu6z5/O8tzN91MqqKoeI4PGhJWv2HjWvehFpwGnYJxE/DLwIFARUWoRVhZnp894X3065c/D2qbbYCj5J341ApteaPsh2qiLLTbsNxXmU5bL+fP3c0uh3mIOmPllaD0RcXFuuPIWM7suBDPaPqz8ec04q5jfsCiRca0TjNupbCfidgTk3Ebbg/MxU5dPV888W1M2/MKtHmMrGMmUVAWxzL/77CES/Y/UFv39TqU2SY/mu6OcyQTJQCA+h4BbOQQEaQ86wOEWzAEi7E73LtTuHlJ5zkWvoW1ik0tE7mJ3YCeje2Js0U7NKALjAu28NlnAMxfHsvX2piqBbFt5TnSB8SNklNORMeO7q5x49JbgToMxWKht5suqEaH2jXp7ztMewHn4Tm0Ll6RPpYIyKfhXDyP3liLmW8tCyS/QDGbueHBqB5kbBEkwP6kY2ettsxK9G+Xxoei93lWXp5EXkLjSu5KHhAilmcOhutxLy7As7K3vDh2loCz8KL2QEy3rAx0waBDb6ecbu49GL9iJL7ocYb3opQpUdJDPFEoPs934WbcgjsNx9fbrNOSo3d5hyplOBx2mGurvVX/ZrZg8Cb8AxXYAtG5gW1WzUh/7piU3B4SycwYYla2nzbX2pT0fK1GBjul3rXPM0eHtjp/AhG+SD/PALodQ/3ULziUzz/0oEph1tXz0WvkzRdy+O2HlGcBy/PGTZk0m//zlqv87RTPfaBdih1Xy7OlOB4qvvAlxcX4N65AVVlf12XoCWKjlULFaiBf3Wl4liUJj/ZoMBxTb5hmVv8D2RzGTj/J4UElaqqL3EUW0cSgVWPyDJQZCtHHw9WKhVlFko+lVBY4P/2VVeAEt9gPQe7Hp9alKzXf/e6foPDww9bn1qNXMIUQWhwsjsqQMecX+cB//4se/3s8fT4fNo4DSHkWWjCo7sxeeli7ym/KFCnyg+W1LuqJ0oFurspjy7MgysL4nXbKetGEgs323PUl4Ub6iBp1KHKzHQb9eiX3qZuH0gYTVxEl95i9QOcznvo3lfZsv42x2ZaGmWPTb5SMMQnVbGM235tcTqR6wvSdISDt+ZJLglkEl4+0M9n7ZEOJf2NUolhMbUxbu6dMQfHm9enjtbXAwoXS51x22yh2TpLfuN2as61V1RO0tuKWPSfgKxyMlIUPl5uOef6CBIYD+PLzJM53J1aoWP0GLxYSs4Gha9dM5BHl/PDh0uYBu+7qughVYT6uJQBYv1zma4g05VedgteNB9XpfP78ulp/1yvMa+/cQP7zH2l9aaHAubuGX1xfY3rcLGpAugxV58JLSoBmCy3UpMNTH2qZLUVVSfBg3C0sregWVK1sRO8h7QzHObfuPl2/2Jmkj5lnYt5x9FFAh+37GY4HMQvL7N8W0/W7JzZg+oStaPpeG83ogdvrcJI+cQ5S8MqziOVZTVFC1RF8/DFOwsc4CW8CMN9IxU0/oyyiiJtiErYRrLWiG7BZ3kVL1Zj2DDeULuEAYzbKc56Pfgfh68yXoOaYVVQ5bBonEkjlz3gYIzs7hxu48EJBofKEmjqGHi7Sl1eZB/m3G9fXr2hKOwU0NTOUWiVUZyJ3pGb5auwTPnye3Y4dRQ1bABiV59DHoCzMrBSyu17fZ+8EOnXKHAjwfosqz6fidUw48BN00p0/fssLgckSJblrM88iHSsyt0mtPG9eIxDo2EWlLWsnlZNAHismJiNHp9bsbz9LOGMV5xkwxu3MF5pNmnQUHhQ9ejqnaUY5/npL4SoIVjyLC1ylb6hw7xvbC5lpaFslLaH2ZZYwU56rNmYqmZ8nGlRd7ZiynhpxOz6Zu20E2ags+qgCVp7RsydQbuK3EQBOyrP65a8TjAtFi5FZMJLKYRU0dyUPCsbAYB8vsmtpZu/U7ut+SX+e+r1zrEo3ncRee0uVbr99YmZ5DrCjM7XmMIfzPinoTtQPjFnPzIRgjY0DwgsBQ9ao63uY7+6lF+GEE0IVIyfpPWYbV+mTzHwC1s5tQ426fznzTOCA/c3P2bk7KJbe2bOBu/9pPF/ZGUJtzm2ttFowv3WrTRluCzG5oNeK6S4zIfwQ6C7BjpZn8fE2l8dmUp4ZQ6dOQFJ2OdOHLASAlkTmDa5W9SJV2tbomL2bSqs44hcn4qWYhG15qymlVdFxxaof5G3B+GjGDbPp6igWzPJS2v3BK08/7W5AVh7vnnsAxx+XOa5EPHFyYVBbzzp20M6Wm1qeTWZzlDL+e8cKKSSqjppaINUkx9W3U6ItRP3p9Hsw59S/G46XFLkfa4Jw6aioNXeVIcIhHbY1AGXVbsFgaam0XkmUZA4PI6Q8c47aOqR3T+pu4izXUKz32pFYXTJIKH9RlEoZuynxIP2lzLbHDXnRQA6vSQiMtu1Hub6GMeuOkqWkXq8AwkBHAgXb8E4fhy269XB5kd3o0UAv1Xt8okkyjnRrW2d7vSbU4dix4OotCR0WDKaPycrNoNWTLMtprE/i5/eX48miP2DWK3PNE2n2RM58nvbaEkx+Y6UxebnR39mJICzPQdbvXLZeZgvlHS6I+243np5/nruNb3O5nyPlWbf3qlm9sAqnUlMrEObOg+U5bspz+JY31dRmgP0ghfvyBwezjhsrmwx6FcKkgUk9ituiXiKD201GNIbcPfZIf1QiMTWgvXhmF1+M1WfdmP6qUey4Jhk6d858V+pTqs26729r5ZjzthTja/6bv5imsdCdrYnIspCNrrmnm1WjeU6CyfUrjE1SDAnE61Que/+R8pxI4BeMynSQJs+9X8sS80tbBNw2XNRWpVLGLZIB6aD5SUmJ/Xm7HQZ/m5/D820uWbI4+w2AlPPske6jn3wSOD8TJHTAAOnvsH3cvSFq2oxKkUj3o4yh8T8v4Z91f8gkE9gNNdnGHa2s6vPJVgEfaU8hrv2Hqpsx0325bim1DIFSeAzarQf69AEOuvMg33klHJ6/m/cxUp5znBQS6RXEKzqMMCawqgwCFmI3ynPGwu1x4Jw8GVi/3jmdW4J02wjwrVW4TJrVM32EZ54JHHuM/XVWCwaLICnPa8oG+xUt9tQaF4yHDr2wesd1e7e42R07AuMvAfYYB3RzsxGHarrG1EWDAfvie03Uisz2ydYP3s4qraC+vLYmpErksnKGbQyituJMSef2OGb1kxh96V7hFrTffmgYMVY4eS7vNkjKM6S3dUUZMHuzt+qMk6lg3TaUgjy7Gzz/PHD77d6utcFKnKCsYzwktw1Che7GDhoIlJ11ClrOucj2Giu3jRJIm0K0svw375AVOMdw2YlYJldW/m27bTD52cR57tgupUljRrI1pbrWPJ26vf4yO1jjjkKuuMORL3RI2E1ZnnkmeLHDlKaKXLY8F/wmKYAcz1bpjEwXc5hj9+CXfDQPqYYmlI8c6kIQeeqOMVx0ETBoEPDXv4pf7iiUR3KkrzSQo2JnhcOWSZv69N5ov9WdlSIwGPKWUZwDVVWZ/dTzkO23B7BAeyxbbeJL/A6/w5fZKSxPcPsCPnSIxcPs3l0yRvTqBYz/wnB6h+2B+QuMl6ln18xevMzk69ZNSWejPLepYkFbVEB13qkkx8svA1u2aMcwv3W3aEs1RCM6yiX6K9ABy4hAoZZawFguhHFPLivPZHmGvDBKnkIzcyuotdAv2mwsz18c/RC+OuUJdx2VnLikrQlvPlODW24RvzSVAp58Cvh5tovyRMWysE54scg5XROk5blI2fK2mN4RrSgts7nhjDk+j/6NvwE33wz8/HOwgkVEGYyx24tTxq2Xs2WNfhMnu1uwRrhm+x1sKnnv3kAigeoS4+qzXhbhpK1d07jh/FA5nHdbtbyXgM2AIbKQXLNgMMVx3VlrcOcfVlunUT43NwPjxwPffONYRtuKNY5p1ERmqSbtORLcjOHktpHjbLttRnkeN854vsliL5RhI5ynrIUrx9atYG3SIN11/TzcgxvwBMajtVHsHV8JtTd1qlhxbshqBQ9Qe369cjymYhxSnbsElmeuYjmF2ck8DCMAgLl4HCuNYbDyhUH15pENiNynvBxAt24CKY0NYcAAoLjIZN0As7A8m3SjRfJ7/datsmKtUzR7qCZ01AsArfRRtYJdmmzEbbgDt+JvmjSm1r7XX5f+fvaZecZ+iEh5zl21LD6087BJoZtoN6Q85zg9emYedkmp+IMv79XZOZFox3H11dj2+/8CAFaq4scnG5x3MQTEd8Pyjc8CTOM8h+Sbtrp4IP6LCwKdZspZPDw3p11YAWmA2rTJW/65QtS/jHyu3eFm8GYAsMsuAgmNebZvB1x4obQTslX56svMnmKTfjt4XTvaUNoPu+8mfU4luePbrFoZ6VG32DSNWnme96v8ZZIcX7rVOMvil7h0DS/jzKhFyDlOPkU8rRe7V+9lP8SngriEtAoArEjd2bmIUSgH16/oaJNG0KfnyaeADRuMx9V+bpGhrtyCP6i3ux1yM4SgRxfyIsQuldJfL7WIWW3NrWLDBuDNt4DJk2JQT0NindkeGSF3+IrC/NxzoRZDAEIdRMpsqDzwQAAAP/Y4zWGrCDWKVVlddVas0CXS1yvGsGb/0wEAbS0p0xepNSovCiHXDpWC3bOb5Nr23XfSGLRxab2YId4FYb/8WRpfdMV+j/1ClSMfEbU8n346cPZZ0mc3L68b51flrMsfKc8AEqqH3dStr/B1SkeVKNIeX61yMVMUbBHmzjMeE92+MsyxXJM353jsMeCxx+yvaSy2eaPQYTowBQC5OmdIqEaSPr3FrnHzzhFFLGRfLF8OVFejpsY5aZSGkXPPBTq2z7F7GzGuNkkRTGqqX592GvC3vwGHHy6QWAwT3RmbfpBWJW6YutT0mlGqzUPVinFrN3MLhtr+UV4mpZ83X/r+3ntAv81BKzPh1t/p7cyVYmo1AdChg1CyThVAO3mzSjfVf8MG4McJEcQCDQBSngHNtH5Tr4GOyZWZLSvFWNOZ+WzBIoHuw0bjl5RK4bLLgMsug+2P21RqvkeumRWipahctI264r33gOuuA7bbLvi8c4UmJpsO5GfVuRNw5FGCF7twd8k137W2v/0DqRtvQpeYusOnEpk3v5NOjlAQAoCNdbNXL4Ol2Up5V7pLq7wmjhyPypplmmNbGxm2kzdp6da3XHPtgn++g8blG1BdnUmvHpOsjBKaNLrY0ckU8Ec8bnqdV8K2PFfvaKE8c+19/uCDUMXIT+68UyzdttsCB0kbsLh1w9y8MTc33CLlGdppNpG3JsVPTVEY9Jd0VnWAbizPZsTBHUijGHGOwViCbbHQ/iKrGykfP23KVRh19WFynkATCz6iwLbbAvfeW9huG5uKtLujFRcDRSOHC11rtS29GbkWcuiZZ4FPPvYudGv1lgClMbJp28zK5crTj0RlZajFFSzCXYNNJ6JXlq18np34dS7Qulq7yVWHTSvQ2G8YAKC1Q2VaEW1avQkT/vIpPj/m3yhVRYhRjzdWL7Rq1w6/45MIYSvPr74qlu7oo0MVIz/p0AFjdhZId911wKmnAnA/3obgZp8VSHkGtBY2gSevRLZQOp6tiQrN+b/g7vRnvxY50euz6bZxA+7BtbjPU16svAwA0HncDloTPREqyiOsK+oC/PnPYte4sDzbDcLJpLk/f9SsWgVUotp4QqAxdWjaFIJEwI34J/6Ix8HVvmCHHYaqIq+LCAoPpy68RO3OJTjQ21nT9OVZLTpPW55d9tVMXrnLk5lNUpoapUzWr0vhGtyfKUOlGFuNHeoXXZFdC+OO1Yslbc8dDMNcztwGtcNn3CHlGZnOCZCs0D2MIT01tNZsBSCm2PqtF7GYDvewYNCsBdVD3A+a8I56oK+qkp7dooXS3xQS4r2bG8uzjfJ8443SPhObwtE3ffFP3Gg41tISgSAybShGCkUoK9Mep93SXOBQv88+W5U0oDzVFBVn0iaYsV24Vp5lSzZPptL1QMkjAY6BWJ5OK2J51rht5IHl2YrSUo5zz4mk6LzCdc/jUnvOUd2ZlGdAqzyDMZx4AnDiCdbpb71Z3spbecu3qSt+OyfR68OsgCVLfzMtyO0bpl4BML+elASvNKPMcEwZuNJ/3QSwd6E8273kvfee9DeOyrMZN15WH1nZixYCd90FnGDT/xD2ONZxD10Md6M8l3hz27BCGZ/UVmKrl6l5d7+bSWMReUPdVrOxpiYq5ZlxLsXxJnyx9fDfu0pPlucCIlGcuQ3pB29TAV6RfaysfJ7V+PUFzYZlwImKt5/PfFH9IFZb4zovbdxT2YqiOp+j7SgWPFJ2veU5ZQBzY8FU3DZ69gD23tshrY3yXLLwV9yPq8GtdhuKGb2+eDGysjt24LjpJqCoyDkt4Q1m+UX4KltKVMqz2W5+nt02UjyjiFpkUl6biato2ibb2rRjShamWYJSnt1GZaLZmmBoHbmzq/Suot3kMKQ8A5rdIJQHb/f2dDL+B0DQbSNbPs9huHc0NQH/+lc6fj4AjfJcNukr11ma9fmRbd+aZ7w7oRKAdrDyNXDJlucTTgBGjTSeVk/Y2PlOXoFH0AFbwTasB6qrJVN0lM981Srb0+XJhiwJQoSBk+WL75BZMCs6zOsVsbG7Wqft0DGTdlOVWYfnTrlQFrTzZAo//SQdS4c1tcnL1PL85Zca5bn7M/e4kiUs1sA8OpMaPnio5vsyDLJN35YoBS64wI9YBMJXhnN1+CflGVq3jbTybJN+d0wDIGYVzpbynJgy2Vc5ZqR+mYs57y7S7HioVp6rNtpcbNGpF3Lki7Dp2ct4c5UQgAcdKG31e9hhLjJUHla/fjA44UIXyU5kioVztD75LKpe+FiKsxwRW+79v8jKdoTmmf3j0Mkk/3SFKq23PGs6W4c07dIF+N3B0ucXXzZaod2OCWm3jSTHzJ90AtvIXzn5Y8OxtYsbNOWnOIBnn3Ulj1tEXuA3oKdjGj1OyjPnAMaNs01DOGO16Y8lrv05c1N7JuUZOuWZAbjvPlSdfrnjdelOyKay1H3vL+C8qNvGPTfV+irHjO++Z5is18lVStKEb9xV+pGjmOZWaW4bKdW+Ue6n+laWlUrPqGMHjhNPBPr3d5Ghoh3fcgvwyCOG061tmc+iL5IfvN2Ct94G1q6ObpX/a6/Ht7IlyilEgG9M+uPG0y4wPb11q7c8q7ptb52Wc/SRDammrgYulQV1tI0iiMfE/fX1OYZjn3+aRGL61PT3Tz8BMHWqIV0cceN3DtC29kHhVnkuEN2ZlGcA+HWOaiBnDKioQKqyq+01s76pFrIg/HLHm75kE1We2039xlc5ZiS5SfVQKc9DNkyxvtikAR1yqF11i69CkzOY9Fp7juMYtzuw7z7OL3oGXISqE7E8p1LAqlVS+VVV4lkHwUm7LccRg6Vt1Oq32t+DBKJT7JVdugjvmFXxK18dZ3pedODWK262lzGW7s7M/G7dKgvKmhyeTOEkSOPJjpAUY7uabLqtPIAfr38t/bmxSdqWO2pGjchRDaoA0ARUEElPCwYLh26/fJv+rLxlOekNXx3096ws5hOd4uuE4Le4VIdcSqMJEupOyTDND8jZxhM3WHrAzlCcSGLnnYHiMvcr0FxF27BY2a+mub5VlWd2n/khM/6B45c9KH0h36GCxtvj10UKsuuzOnYE79MPAHAoPjeed2t5VkLVBbCuhTGGpUvzo7/dc4+oJSgMyG3DHFKeAZRAtcWN/OCdnOQ7oj7dmbmdTnKDaIfZuXPwZZu+caoU5nXth1heW7/FRO6BOj9Bk/tGK6S9Y1ZnGzrL88fDxXYV1OBme24B5bk80YKubdJuKcVV6x1Sh4gbi3pMIH1fHOdQdR5upv4auwGfMTRfdg0AoCs2uy9Ln51JqDqvtLTmckXSyt7RYduA3FTJ4ofVpj9WFIjujGLnJIVFJlSdcw0QURj8ImrdTpQUAS784UQwbDsLSNvFyWwpqrR8+2puMN4bdqF25TMpBMFipjzX9NgW+PuZQPv2wLx5wDHHuMhQ/AHNmO7cFkp7VqJ9agsaAJStXQZgL3FZAoTqXZ7j8ICz8fztjC9uLcjqaBuGclz+lra2PHKQc5r5zFGlLG4Ul7hUnilUXeEwYkTms9JRiVSAtOWZh1dZRJXnJWUjnBO5xPQeqDssu1dGs3MmERtELiPEMBtIGedARYUUOPjKK4GhQ42JrHBhoRXxE06mGJaWS/V067Y7icsRNE5tO6JKOAU0Dx0ETgqlF+VZPyPmVEVsp7o5RxLiblRqn+d8ReyZaG96ggdrLCLMKSoNN+h8LHZR9gApzwB22EH1RdBtA1A99DAHW+EVLSHIYLZIRr1JCrfuzO3OEeFgWmd91As3FgSRKACpJFc5ZkfXYfIYdnvzsQOex7mW58mdSRwng6Qn5Vn/IulQf+3K4NxdJAhFETczpLh1Gcxl44S+3YqOMS/jTNyPa8IQqSBwrTwXyNRe/EaRCFDrCIrCIGJ0y4byLLwoMQwZTPJUWz8G1dmE4fMqT4E0vGzRUOm8+YAVBoXBhl3wo2MadV32u/OmV3hrGzqmgl9c65cmlMdSqc9Fip2cET31Md42NjHPSbxvPOJwlduG2X4rrqQCvv2q1TlRDKlDp/RnJb7zmi4mOzepUO7z99gPK8u3C022fMet8lwoQzj11gBqjzsn/Tn94B0UBwbg+3ekXUK43KtNnAhceGGwsglPaYSgPJs1At6WsTDa7XNRlHDWjijOc7CYWYoHHzPKe34uekERhUCyPEufk6loHvjLhzyHVK298sxY9s1zbmPSfgY3u90UFkXFDOMvsT4f9npBwGrWRnHzEy+36qhzbaNtuJ2ROBDBhzTNNu/iePwZD2N5z91s0yn3+ccfgSVLsiBYnqK4DYUFuW3kMMkBg9OflY6q1GGvAg5gN0yXv0gP/5z9l2P9sx8GKpt4xcqO8ixqCe/Q3jkd6ytZRRcMOSJ9LJenFaPGbMDefXfv+bkJVSdCqi2VHupt61Frq/QvBLZ8O9MxTSKilUaffRZJsQVHIJYxh47K1PKsXOKik0t26mLrtlEoVr7OnTIvCgwczSgXvo1jxgC9e4coXJ5TVOIyzrOFu9/OVstccnTQJ+UZ2jcrpTMqLXPRK8kP/4bU3TgGHwQpmrjbRghvb2bWMNFFK7ZxUGV2P6A9Wv/9JG55Y8f0wOI6piSRJuiBVL/KepR3IzYAqS6LuDyvP/3PWHvWtdKXtjZg6VJ/BedA57z33sChh0YtBWGFfqdAp5kCMwVCCVRUv4VrrrcLucaYym0jRy10QWB2vwcMcH8N4R51Xd5ljEB6ClVXOKg371AqSnk7N8qz4UNgOHWYdQvWYtpFT6GsNfj3ICe3DdtrBRZzMAZcdpn8WY7W4HY3IyJDUCGCykqB5hZg9dpgn8X6dRzLlgMjYR+z9t23kgCSGDYeOKjmfckke8stQL9+FhnLMaN79TI9vezdWa7kDNriTkRARQWALYFlpzemeHHbaGqW/r7zDqCuyXbKBkswjdtGRUdgS72IxPnL/z0O1PQBjjoqakkKh0RCWqcy6rlrPeehbjP9+gKrVgcgWITQKAGttVPpqMrKxRWR5JatWBbSrk1OyvMHl3+OxRPXoH31qlDKN8gjaHnu1uhOnoSibBfKPGQIBHXrlAVXy1ZoM1zU9wBf+f7h0hR6Yy0AINnm3F4eOvh9/OH367F2HYCNG60T3nqr9M+Crz5sdCUnKc95wH33CSWznErWcdJZ5ZrvTlZNuxm0/fbVXltb1M0yLUswjeW5vFyfID/6S6d1Buqz7doBxx3nvDA0Vy2acaQWldKH7t2dE1vUybXdd0x/LlKtQczVGRUaJaD16RFVnvVnXzj3q1DCSTm5bbSkwps88OO2UefS6NN7G6ms8vZUJT0T0ECqZLPbbtr8ksVSnO7dxgJnnuk+36vwYHrHNRF3pKPwEfpgDd5/H5g5zXrG4/PPgZk2rsylLe5MdWHuGGpdaPaLJICuXcXSlZ55sqt8zapQP0gGhYqluihFNjNGLMEya9fr61FbIqC85CJOlnzShGOBUNeoStSmcm6ob98z/bmppCJIsSKBNBXoLM/Kx5oa22v0TbnX9/8LVKZ0OQ5vZSkWbgBzPaJuG2753UEpnHgC0HMbqpJeCcJtY+AAYOB2kpLcq1ubaZqSEqBjB/d5lyCzCFDU2tAT0nbeD95v/dK2dBkww0Z57jZMUEOSiaUtTyfU70+MRox8Q1QlY+3baa/zsUlKWdUafe7W5ap8nhc/8C62FnWyTEsQoePSsGCVelXnTJjBXH0vIk0F5pZndLOeSrMijAUKTha6MKeYTX2eQ9rlqriIo0cPuNrVjtCifl4/YyfM7naQq+uLioDDlzyOFSMOBwD0Xzddc77NXJdO46YTFF4IK/P733tvWz12yCjPIrNDkRie3f68XB1xYkZTRzFLrqFOOG2SYvMi++BEbYg123jqjNnmlSdeG84LMMHz5rfmIgkmjftuux2lv+29DTB6dOZ4u9RWVaLc7MtIU4H5gkFpwUkMcFyZEmKPYlK2W6VHGGXXDFKePaOuCvfU/RH3rTzVfSZFRemttvVV61M5lNpqveFMxs3GJ3YLBk3FEtj+2wquqrMiyjPt5lc4rBj7e6F0BgXWx4C/z5LnNd/tJowSiQKJQCRwP3NUx8oL0jVQQN9QJ1E+H/w7oKzMIlGOPljSVAAkzJTnmBA3y3M63lLQ7L+/TaGECOq6W1EhLaxxdb38N608WjyKpibz426qhutFIhaauUi/67asKKqg86wVtYswEB63A64U6udt14ezooSt8hyJf77MNttkryxP+lWOKmVxZNi20r3Uhy91QqmfjEHTh6ttZLn6mChUHYAiVecUN8OnU8UKU3k2UzrcWgwBoH17oKHBIdFppwEnn0zKsw/83rr0Hg7yc28q72KdsLwcgFaLdmV5djmDYaUAiyjsrsvKAUU1VwecuCF6H93uMAgAw7bNRFG0xc5gwwrE8uyA5uWSKn/WOfxwjqaxQEmpS+UZKuVZ9dziZqT0QsxUxWhQu23ETXlz8jEesnaS4Vhyztxgyjbro9xoSDInnwyc5uRBwJhz7CHCnoDq7vz50t8l2+xlev67rscDDz9sOB6F8ixSpmsrt8N9HDzIXXYikD4Qb/SDvej6FpFUzKa+JRJan2d90jBHqw7t7c83Ftm7Nq5Efxel+WsA69EL32G/AHMk1BQnuKdF4kq/ligrQdMOO6ePa7w2KFRd7mK6YBDAAQcEW071M2+nP4sOlk4VK1ljjAn3ybVfuZLLMm+TWLxeFgyWlwGdOwchEWGHX91ZseL+9JP03Jcu02bYDlK85AQ3N/eGqTxbum0IdLzqNAkR32mnGxmv92vCB6L1UMTyXKJ/92cQ1Z5tT9nOhppce9hhAmUK0Kev9bm+fYDqkp7WCQA0wEH7DpDb8De8Ag/xMwkxxo2T/moclwWQ63/yzrux096ZrTTjNsPvhTz4Cf7RLBhU9UXbbwcc5C5ggS1vXPRZOmSBoqjog94zAEeN74exl0tWPyeFZNNY456+K5cF45dsNrCEFW2D8E/Qkyatrdrv++E7AMAO9TNM07vxeU659UO22LFSRGHvNG9q+rOQ8uzAmgh3xpoKaRCjrYcDQtCK4TTNfNZZxtjnos3RaYdBtduGmbh6w0R7l2sdvMiVbRpZ+0j9uwuek08GHnwQKC11ddngIdIzKylLaBcSkttGflBcmrkNev+yYdsGW1aqVdIwlEHfEAEJQL/Hb0Zqr32gSWhBuw7GOM9ldTa7sbnA1PIcUpxnwj9+xxbFGqAoZs0tFhlaKbIWVjyzHde5W8uzhZIjYnmu/sjo2mSLw41sbnGXXZCMG5f7g06cEPZ5doi20aG90Si3qOdeqElI6wbq1m6FFX6U56YmIIUi4c1e3LCyq/X2iys7bO94/fDh4nXVaROUpzpeTRM+UZJISIuXXHLoocCZZ8i+0qoVphpXpBw1BJDyDF3HGPLbbdNWrfJs1SMoMjlZ1lLcmEHruiqsnm6MJ/bLL0Zrom3eKgVHidzgyfI8fjyw777uryNc4bfqKoO/Yp1dvNgioUVfZ6U8m+m3rMndltmmWs769eAbqxwvnTfPZVExDvScqwNNXPG6YNBw4e23A//4h+EiRSmcN6XWk3zqTVLMWL8B2FjUCzUqF4rAaohNO+AsEexQ6fAg7vmP874LO++sz9O7OIR31Auui4qAjoq3RklJ+rjGCp2jD4qUZ0DjgKNRpEeONEnsD0XBSKWkrStbmIkPEWNIFEsyOe4waKHLVt33nOb70qXAjjsC110nLqva8lxZCVkeD8rzLrtI85pEqPgdzJTLj8AnAIChbfPNE1oMdFaRWBp5ueFY/x/eMCYcPx54/nnjccC0om+67FYsOOWWzAGrGHouCVN1fgkW7cDh4eVCBJC40sNmHxThSHVO08y9exs21mIs01Tsuk07vVGvPOvHg95YC6Q4eCIzA1l1aMZ/ZPvtzPM99BDrMjWFW5/UyH3I+KGGFEG+hB55pP356mrghx8CK44ICmXaUVfJNbOaOeqOQ8ozoHl4Gkf2K64A/vnPQItS6pBiAU4w855TEenpp+yV1daU+fbcU95Yrvm+cV0Sl+MRLPl6mbCsaktiOgawh1B1RI6g68P27rFQ832oPD72H2B+uZnyzLm5ZWGyyUC3tQFo/W6yRebGvN98E5hu7n6dxlNY8hD78nOeMp+BcR9tIzetNVHATj3F+qSg772XUHWi2rNdVvpNUkytdJxrBGzp3if92SqAkd/oLhxMM4s/5PFrcf75wHbD/OXrlcpK4/ohIgYMkQeNIq2eoq5/uWoYIOVZh8HC0MUi1q1HFMvBxRfLW46aCpEJT/Tjj/bbIrdxc+VZT1nNeozErzi66jlhWTU+z4qgYW2SQvgmKMuzQkux1sdtgxyzdvFCi5jLrUYFIZWynpZr1HluvPQS8NFHFsIJ7YZiTNPc7HyZkXA683N/uR4XX2x+TtRKl6sDTVzx6vMsNNXMWDqdbTk6BX7MzkDnTukstGWbZcRTSDHzcWBuP+OCcgBYdPB4G4Hksh3On3yy6ksigdKjD8tM0QtcT+Qnmip68cXAzTcb3mzUdbrjlrU5GauTlGdA81YU9gyCUkf+9z/7dEye7ihDs61MdqGWNP7JcmV1U0dNLc85GpOxkJiEvQPJp7G4o+b7lnrpb22NxeI9E3/4VMo6wsVddxmPWW0qIaQ0mlRuT32yi06g3EXkpvKRxqltz1AzFMauDoS5SYrG8GyyNsUqL7uyTItNccst2z7+3Fyprlrl7OLk1AwM68dOPBHztzsmI4Yr9Tn4Ck1NJAaUlQEDTKYq1TMlP8xE8vNgwutmE1KeAc2DZGahAQJEUT4rUIciJC0tGIpIF+E/tqZnux3/1MpMWvl10aNQtI3c41I8gdmjz/aVx+67SX87V1jUTYs6a1YXk0nr9FuMIcot8RoXNLl8letr3LxAd7Pxpw2DXF1cE1sE13A4Lhi0uEh5XrY+07q8irp0wrrifulyS8tU15oZLzhHz21UEaNUbSUJc+W5c3Kzg/CwXzAIZnoPSltUUUUCtkS5nnWhphI5llVAdXzNWuCDR5dlQ5xAIeVZR+i+67Lbw1V4EABQBHPFWLNIpNVaebaLfqHZHEIXhsyRVApLFqoUZZY5TsSXKVMYvv7GXSVWNjNQ6n5FeuMwbV1ZjoEAgK3MfKspM+VZ77ahHthZq3jMNxHlef06Y91O3n6ncBlpXHQCgYUrpYE+Eoqb6j1dJ+q2oSiYml1sdSTWZyIjVVQAOz18AdqQcVYuK2fo1UtZj2gst0uyCkUshe7yekW1e2lnmEf5KO7oz0GYMZiOBUOWf61NEwI5OMNfsFgrz9oTG0z67rhDyrOOsN0Sym+/AUil0AdSh2kV31I0fJ6d24bG7ULOgnMO/PorUFdnL+hll6H9m5nIB4oEm6tIeY4z48bBdczXf+NyAMCWRGfbdNtgHQBgAF9hel7EbUM9sTNyyQfCMooMmFvqjInecHCP8suYMcDIEeGWoYZ8nj1g038mi13umCZTJLLURGV5Fg0ResbpQNHIHdRZAIyhvEz2fzZpCI1NABoaMlshq9qYlfIsqoB2s4sQt//+YpkI4BTn2QtfdzvZORERCVOnaL/nYr8WuvLMGDucMbaAMbaIMXZj2OX5xsayOniw/+w//QRIrbVw7FShVp5tffZsLM9q5TltyeYAHnkEuPdeewGSSfTeRvVdvvyjD0h5zjeqIS+KlZWMvv2kXcr23Muie7Do58zcfAwvdyqtI9EiHlquZrNzvXO95bcFbkJsJUeOxj6HmVviXZXpVnQyvwljv1jPfX+WYMARDqHTAIAlMmVXzLGIIgOA9x+ou5BpLduMYW3ZIFRvtv4tP6wegJ12lj73H5Cpvzf/1bwNi7pBWZXHOYC99rK/OCTTs2i2K9rv4JyICBWrZ5UP3p+hKs+MsSIAjwE4AsAIAKczxrJopxGnRJ4ls+to99kbOO56bYMc7rJ9rt8ALF+SqTlbG8zTOW3Jmsam89coz/KTThvWN9rvQtjSAvOV0+S2kbcob//tzj8dZ58NbLNrX3fXm/SIeoU6VZSZjl74W+acU7Wa/+qP2rJM2oQ+j9TGTfaZWqDU9aJEpl+wou6AY4EHHvBUjhdyNCRqfPHQnx16GNCpk/ODYCq3jdLVSyzTFVU479zWsnAZkikgUWVueGlf2oZhhw3F+EvUbldAl67mcup3Q1Topp61YsxqM1FL5dtbdBuA/JYKmzlzopbAPWFbnncHsIhzvoRz3gLgNQDHhVymJ6w6EzUcwDb/uEJzbMwu7stqrM8oGbyoxDSN2vKcnPC99uRaVWgXQeVZGXUZ53jyKeCnWfYy/vc5YOEitUCKMHnwykhoMETD6Cy7b+g01MGDpL99+sAUU59n3bFEccbyPHJEJn+nae0B0LqKmCnP7cq1B6e/Ze5e4ojcVtwM50cdCYwa5a04dZlEdvHipscAYG93EW3aiqx9jFmxahi+U+ujr68WJTBvKH1aVXH9VRcVl5jXq+J25uNO579env5cXWM9vFgpz7/+an7cEQ6sRW+PFxNxwsukWHNz7r08ha089wWwUvV9lXwsDWPsEsbYDMbYjI0O1tAwyfgEG89pdqjSB/tWdS52sfjVPHR/RgFVjHXddH6qasvzhKveS39ObajCD4ffjg1PvSPJbWUagP009rRpYrIqKNLYlUfkJvvIekBxqdwdpFeXagfevn2l+tTVIvS5WX3TH1PvhKZua07Kc1mpc1nt22mPeY6ck+4MnHVa5SW33/5DMXq0t+IAn4o3YUtRq417kAfL88qjLgWGCewGorI8bxhmrWwz9ZjSs6dlOjs6JmsyDUqtPO+6EwYPBnbVGXmG7W1ejrq+z57DsKzIPLxiUcJZ2XHj/sQ5R7HYlgUu8gw2P0KMXts4P/d9+2pnYio6WiSMMZEvGOScP8U5H8s5H9ujR4/I5EgyaX7WLB7nYYcD++0LdNjNuF136s5MsFpRP55vvjImLJYNAco0sdryvHhxpheY+1MzZs8GXrputiyAO+XZa6grpR8cvnmi8DXnnSv9I+LNbbcqEQHkA6NGAQccAJxxhibdun5SDLv13YYDMFFozSzP+jqoMlklVefWrsl8NhtEEwdqFyeZVXu9FTFR4nE0Vi0PaGWltknTXHMN6m6821t5AHbd1f58kFsdFxq9Vky3PNe1MkRjgMp3ud4mqMfAIcZhuKbGXVHVie7ABRcA++4LDBqUEWHkCBx6CDB2bCYyzLi/H4Oe+w+3lFmhD9YgmTKvd0LV0Y3ynMpMeDlmSy4esaajgCJ88oFal7oTBzhsFRtDwlaeVwPor/reTz4WOw47qwdGDAf69zM2zA5dyjB8OIBTjKblRGnGKbJSsPF3QXX6c7Ecqi6ZkLTnNib9VVueE6rOorRcemTlZdIxbvN6rVZmWHqTFI/Ks1JTXFxeVibmDkNEjFwnmDLYFRUBp58OdOqkSVbXSYo9W99RWkl61FG6bMyibegU6k6q1f/qSYx2POP8b1bF9Iqx2Yuhvmqrrdw772SSqYxx3UKm7bUxB6dnhaIi8BJBRdsMB0WDVGf3LMMgAEBNz+0s0xx0gAflWVApZCxTl/9+p3U5vfsYh2GlKW0WCMcMQKr8PXoAZ52l9alQWbUV21RL3yG2Miv0wRrLKAgiCw7d1Fk3EwAiQ9iDuArXX+9CACI4DLvnOCf5dW5IsoRI2MrzdADDGGODGWOlAE4D8H7IZXqiZw+OfffVKq1pKiulvyatVp2+7da/CZV1IZ4xHNtcJjuSKr7JKsszYzaKgo3PnlrhENom1g6u+UPkEcO2lZ7q3vs6DHeKki1/LdXpiry1TUqj2tRHv2BQExdZVRl5fWZzhVZu9Mdcs2AL7jhmRvoSM19V/TG128ay5frUGYbbLmEWVwGyYRymqWhx5kN6K2puV2mZhg1xH0LJdsMTTUKWDsGmhHk0TSbXU/VCv3ayi7T6mB2W1UKl5S7tIM2cFjFrTVVdh0tLgIsuAkbvaJ/OMi8XQdBHjgQ2DNxNOL0TC7ADjovl6qoCoMTcnz7fCFV55py3AbgMwGcA5gF4g3PudUlBuCivvmav1L16SX/12gK0yjNr305zTiR2YXoKSlmkZKI8J9TKs3I+rc3aWJ7N+kiXo29ZKTBiBDBEMVbQ4J13VFQA4y8BttvOvr6mq47FyFnx/cfAq68Cf/pT5hqdQltXkgkc2/rdZDRWSUpzqsR+iqLrip+wzYdPo2aFFJ985VLjxkEGhVrVlvVrCtQYfo7K57nJKXqAenfSwHZMESqOCILtrK3SfpHqg1Qnj4F1TPOGAcaQTSJT3xqs+nWlDeyyC7g8fWi7bkVVwXr0ALbp1oo99wTG6tyKmIjl2UVd3W8/4OovBeL/EflBv35RS+Cb0H2eOf//9u48XI6qzhv493T33XNvcpObPblZSchCEkI2AglLgIQlhJ1AAmrEhFEZccZXRXH01ZdXFtcZnRl8nf11H51BxxV1RN9RQMSRRVkCBBIkJJCQBLLd233eP6qqu5ZTVae6qm53dX8/z3Of27e6tq57uupXp37nHPk9KeUsKeUMKeVt4UvUiKKxRdmWLcDb367sMd7RH3OX84z3DNSNLZRcjbT80jbcPQEExcL2R+bWY24RsYFMRyew6nSgYHXlF2Xh9nijWNEQCSr7qtmss4Z79j17gPvuM17v2AHAm7Yx6BqU4ocf/LmxbnvgG1CoRdEImv/x0nu8b0r/mueBK67xXefAxKnO5WyfK+wG2PmEKHDWYFGryVgFXTPa/2dbg8EgpdaAnjh0K7n9ttPWBnz4w8CWLeXg2dqnwyO83ebYt3f0GHz7nku63bhobUHvSIF34POe99xtK6gBrFtX6z2IreYNBuvGlVcaOZ69iq4EOjqAhZWkyYW2VvX2INc9BKtOzXOXOb6C1VjCyjsV9hptW8hqndzK03QbDJonzJyM2NWcucHBTjP/Nco1+5OfBD73uWjbo6EX8YaqXEZd0+/7mcThw8DTTwP4+MeBAwc8ucnC9WRnsGT87QyyA1KRzLdGve7Nw3DXPDu+f4qnRpbj0101f7YIIu7IV+4aO1/j2U1X0i4yc/ITv8+IkPOsc760GuUdOlT9LgV+xgkTgJaWcsqU9Z1c8RnvDaX9KWdXF4y2D5Mm4Uins+Jo716NDxblbvItbwEAFOFtY3Bk3FT99VA2LF2KsdV1LFM3GDxbFi4E7rpLK19nxYrKa3vw3NIaPXieO8e4CTtliTFvO44Y63UMz61YUJGD3OPKj7MHLlZgETV4fql1CnD33RgcNsJYT5QLUaHQNPlPDSGkFZCn0V63s0HhwNEi7vk28NP/BPa+AuDoUUXw7CzMP/yhd906Q/VaNdCO/XMt1vbH5yrzB3RbJ1wX+bE7Ky2/x3VFiGgUwUKPZiPiqNjjQLi0Ulwi1Txr/J9eetm/bGrfvGl8Z6yv9/EB79NNi/2zjT9hGDB7NvChD+GFSc7RBFev0tinKP8AV+Pkan0a78YXsBV/+ZeJrI5StH59rfcgHgbPMeXyAhs2AMuXVbe8EMCU/srF/cgRc7r9cbBrfgC2QVIqJ82cq2cue0BSfuQetebZPONK3fFcKXusC5f9rlDB6mXj4HAjX+3Qlpsd76+cuQcHjZRkfOtbwIED3rQNdxC7ZOe3ALh76pCYPcvoXsutXKZL3nLsDu4HOyp3k8HBs/PvV8xelNadL7T7eVathxqTfvAMrZpnVRC7aJHxu6/P85Z6HYpG5W5r1hi/rfYrqs9hn7bwbP+NL1+ut19J0LmZtnz/2RPxpT+cgptuCp+Xass1ZEb52pEVjIhiyuUFxq1fVj7ZWU6aD/RPCT+8e8caoyO8Mcu5AscJ1f7SnbZhO7F0THC2inrpsUpfiuXgJOIzzPIjegbPjaurC/j854G1awNnm3f1fHwUf4FZ159qTHD3N+S6GB94TXp7wPBpVOeeb9gw4CRFK38rw6Rr307vm66yPdBeCZ7zLf7lV9nDDoCJf3MrXstrRi9IN3hmPXP1kk7b0K0NFrZ+ngMpzq1nniGxZUslizBsi32jwrczf77RMHjcuPIOeuaxTwq84Tx5Uej2llZRofSe93inWcdb5/s1bRpworf9JdWjjzp7J2Pw3AzuuKP8UuSEka/lyu2drfkFPjiiH7j77nLfm4fajc44/S7olnKDQVvQsWJlDpdcUpnnN5s+WZnfnO3o4Wj5reVGJuZtItspNahCIfTqdPrpwI7jE3HW2eU7OAd36vTAcent+9nnguzokxwSQqh3J6j8eXKe7U9lCs7tzpxR2RW/jy0mTVQGSgOopCI5llWsaPvZ2zzTquvggdXa9UK7VxWzt40XzZENFO3NAahH6xOiMmAWALzpTZXXJ852zjuyF1i/QeNSbg1jafYepfocjmmK8rxwAXD99TC6xwgxY3qEnH/TXXdFm58yzOrFzPpzTLaCCwbP1bD6fQaME0wu58ntPbTuKs3OMI15Xjto/CveOGoEqX4naE9NhnQGCH5J+JevM4a4yqPyuPvWSx8PDYYHi+Z+WOkbwbNTg7MXc3eu8K9dQ74Xi4q+l4VQjTXkmW/77AtR/Lj3SmoFs4fg7QDXM0iKI6VJeOa10px8gyEhsP+AftDKtI36YpWHpB+aafeAAeOG0uqVa4ZP50vux9cAgDPOMH6beRsFWyDtHniqvx9o69D4kKtWAZ/6VLnqWXVcHNeXlSs97788dTk6/sdNegehiqHPVazvfNzGu1S/tm0FWnIRU0prjMFzXD5n5oET5lZqbQNYJwTr5Fgy/yWOC7oiYrXywOwBw/FF/s/J3o1PG7uLyglt8r//Je7/56cC9+/F3eZnsD4no2cyua+fx447/y4VpTLnuXcEsPVtznk9NdS5HPK93kZE1vclrxp6W/rXPKseQZdToPxuVIX6gm2fZn+tWyMZJwRgAKHP6iFiYJiiB6UYdIPnwaIzbSPgHs3r9NOBu+8ud8dkv5S45xcCwPnnh++QEJXunXw27JikCJ4Pd4yq1GBrbC5OcbV6S1l7s89Q4tRYBr2NwOsZg+eUiHwuUlWU1VNHb58RFNhryuwhgacmz9bh5sBJi40TbgTF/YpEI1uNwYl4wthOnjXP5BQWLAqhGLjEyqF3LeqtoVbXyJVHGFRsz5O2YfvTnbbx3IiTy9d1ZXqI+W43vL1t+AXM1npaW9TzWo60VN+zwEs9xjP7F8curnodzeK6L6zCvmtvwvr/lWzrNt0bmG/9u3M+v8uBsubZRdi6Sn126tmO97afcL5WGoVnnSENBu2qSdcbuOjS6AvZTPzf78C2R2/CjJtd3TIwdzCz5s5xpiM5vPLKkO5LXAye4/I52+TyPkmbbmagatVQDOvWq3m2JtrPI+5+prWoTkTf/a53GmueySU0eIa3wSByOWDjRs+87hpq5HLKhzpRcp7t3eS5g2f7igYWeYcFtvKuW3Hc8970t53jvxOenfLu8POjoge+VsC2v2MCbsTdeGVkeiPjNYrhIwRu+dJ8tHd4y2lXlzFyahTd5hhYunUiElbNs1EGdsy/SDmfVnbftq2+C1Q7sqUy59kveI7QaK+8TNcwPDnv8mp2zbBggVHLXb726A3mRPVr1SpjzDnL4sXA2vMA3Hxz5kYdZPAcl0/ahsjnMPXw7/XXY54YSuZJyq/BYKXLOW9vG54AQX+zTnv2eKeZJ6xittKSKEWh3bhB0WBQCOCss4yBG+zcowOG1IDlFEOcecpywHdDliSOwxg4RXR2qDcGdS3j7OsrNZmO3glyVm5mBTupqU+bNxkjp0ZhDZgaNXY7H983XvhUMWutz7asO+gNa1zuK6Eg1J2DnfDqh2y9NPSWLgGmTgUwJ3upOTy1p6SEHHKIEGmWUyW8wbMjJgjI6yy0JvTvVObCGdvZm60nK5Qiv77Iy9MEPIOklPsL//CHHdM9Nc8+V0irvOukbdi3rcp5luVuGP2vxiXFKdKvRwLVLquC5+FnVZ9yYfUOaE9dpaGlW9M7D48DADbgHgAxglwAEAIjR6q3X23Ns7LBYMRVbdkCbN7s/75nfR2dyvl0sOKZ6gmD57h8vslPP6N3aD15mub6HCc2CWDHDuOlu8JZBgcIodvXnM/dswKRvYz6pVh4c57VZdQ9X1iNrXLgBE93G7aaZ1c/z8Zbiu+ahtAgyLYbqq/Nxg/PxqFVF0bbqGnTtRK33w68971VLU5DaBqec/wtCj41z5pn4XI5FcnUPIembSiTop1/tnzswyjcfpv/+l3rUN2M6rLSuqfP4LUos8qdjGcfg+e4fILK3lE5PN2jGCItjHV3bQuESxLY996PA6++WnlsfXC/c4GAfdHZnoNiPa8f5gmLXGzlxDd4dqVtqC7Y6iA7OG1JKoLnlueedPxdsq0zH5DzHBQ8KxuH+dQ2V9I2KhOt2kL34uPH+28zSKEAvO99lRQCqoFqKxJi5vBY7amSqnmO0mDQ14QJ+sMgIt4hOHmRxLat6u8UZcQHPgDceWfl75NPBi6PkRdfQ37tHimmufME/p/GmeisS0cAqAyvKn1ynr/xDeDCdx+GLLlzN22vNbrGq9bw6jsIoAZlv2grg2cIT9qGasajbxT1g+fy8Nze4Pl7b/46zhk2CjMuX2TtQFlQY9qgmjtV8Oz4CCFpG6ecAjykWC8f5NTY5s3AxIlVLVrt/06oulesZoXuBoOKxS+/zD8XOWhBv+C2mg4uRE54+ucTed16doWrrwa+9rVqRxmietDW5iyYN95Yu32JiTXPKVHlH7e7TmYnXTkHo68wOsMfOG6cUqyBG1Qnsb17vScxe1d1Xd3ehfbvN37iKrRGO8H7PKGkBuKsdVXMIKUneD4+WJnROoc++9nveObzHca7PJv6Enz/f1SS8gN727AtHxS7KINnn2Db2med8ID9NdfYqlXA9OmRFnmh3Qjaqq3plTJeP3DPY4py+6qy1NcHdHvHEXJQfQ53O17PMsFvO+cV3vljlfpx44B3vcszIBlRLbDmOSWF1lw5f9kydx7w8MOVv1/tP7l85V6yBDg4CThlg3kBVuQvl4rSeaKVElIatcJnnAF0DfOemqxHXH8bYd9f2u1dTyFCN3iXX15p2ESNK7TmWXobDB4fqCzTNwp48Y/Ad/5+L875WMTeNqAevUwOVhrpBg+SIsyuxNRG9lbmcwsbwpi9OZLKE0/nMSzg/dEh2Q/KAbT8XHutc1hCBdV3dlxftgaqoPq0bi1w9Git9yJdDJ5Tkm/JwX3h9dyF2y7o7e3ABRcAMId7V9VuCUhld1zt7WYO5dGjQI8zv2IUgrvHUFV6fO3rAu7Ou8JqJOxGjvQfTYsahz1ufP1wzhPQqoJn+0LDzEji0L4B7xOVkJrnkb0ShxVPVESp6J0Z1vexoqsLeN3chKrmblxATnLQiIREFQL2W6mw3pCGBUXWsAXPrnKmLHfW8N5Be6cqx/aA27biap6UGCMMOpfLo1g+S1x4AfDd70VeLWXAlCm13oP0MW0jJblCLvQk5xwIxdkPj1bDCumqiR4xwjPLbfggbsMHMT5CI1dlF0Zz52g31GAM0RwcNc+qmmAp7YNVGpNsXwLrOj3jyGPq/qABnLrCtbxZmzxpvLrmuSAHyq/tgbs953nV6cCVVwLlkqqIPqz9VrUjsN/YqhoMplH17H6KRbWjm7ZRcpUd9w2cW1ixsYLnNNu2hI0cE7kYuuYvikpw7k5/JcoS1jynRYjQ4HnPXtuE6dOBRYuASy4x5lV1I+Qasa00WAKkrKzXzAVbvQr4+S+cy0Zq5aw6Q552GgS+HLrocbQC69cCU/ojbJCySCeIcAfPOVuIsHfkbABPQsiib83zggXAM88Ae/Ya0635BvJtAAbg5uziUZ3zPHcugJCL9qD19NpZeejYN+OP4AaDfp3/MxZuAkI4yk5LSLuRHT0LA9+3an+TypdXfn8TLJgi502LKuZaHNM2b+Jo25RNrHlOi2J44Z39p8E+ympR2mYoFIA/+ZPAPqwkhONEUypKo8su1xlqxDxvK/Kd7Seo16k4cSkrNgoF7G8Z47tvlk/0/xXE+ouMqIcaWth1VpYk2p9/0vf91zuN8nRA9ngbDPqkFVvB+As+Q1zbv3P2G01Prd+pp5bbi3WoBhgsL6rfYFBJuXLKMv0Gg875eo/tDp47ZLV5c9At9w1ptaI0fNQNcKdNc01wb8P259Hpc1EoeNv/bdgAXHGF9q4R1QSD57Qoap6tE5CV6hxWE6FYpeMkVhyUEFJid/s04O67y2ff/euv9yxb8qmtUAbPPtvXeXT8/POhs1CDCLv4ypJE97O/83/f7FomVxzU7qrO4leeHcGzbZWOgPfuu4HFi7HmXIFNm4CuTu+XoBI7BzcYVKZtpInVdDWn29maO71it1/sbP5P3WkebmtnPgMAyB8/4tyfKotdNX0uh21r0SL3vP7tfg6cuUG5jnHz+jBq5YnRd45oCDFtIy2K4HmgpRPYuBHTf/pVPL0deO43+yKv037xLO3eYwQdrg2pHuvJKLUVfn3s8l6LbMIuvlIq0jaEd1AfUfL281wORP/qr/DyDz4BwLgrK8/nE0Tai659nd6u6oB8aRDDuqDsleCPPcbFW3XDGNbPs1ZoZVvurDPDZ582Fdj9MjB8uM7KqS7kBGBrv7r31RwmuWa5/DLg6AklbAewZFnwF2r7duP3kd89lcz+RYi6VSPaKldpe93e7t1EUA83ZbepRyykDPnEJ4Djx2u9F6liNJQm1VnirLOwa5fx8pFfR+zLRTjTNvJf+GuUSt4gRhYU/WBGqLHyrUFjFxpkE1rTKqUnKG5t8QbPOQQEz62tKOUqwW15hEGfm0G/tA3lU56bbwZOO03daikgbcPeS07ocMYadMZ8uPDiHK66svqRCSlBmv9nd83zhRc7O7/vHmb0xzxpojFy3pKlepfjN14vYfMmYOZMvd31E6m4ml883acrnZ1mP89Bs0vp6R2KGkR3NzBqVK33IlWsea7Spk3AQMiNlfu8YV34u7qAI0eBsVOi5UMKAUcQ/POfDADFItDqGpEkrxihJErw7HPCkyLHnjSoTOdCesT5hBlvvGFfgbF8Ad60DUcZtG0nrOZZO+cZMBrp+g2UYa7fXfPcOyKZgDmqwrYb0PuTnwBTpw7J9iiA7rnUVTZWrMzBnsRULqvW4xndoLxYQlcX0BFziPZIOc8lzeA5dJWVYycljFrmpJK4iYYQa56rNKwL6O2NuJB5crQevd6wOtrjt3zO2c/zI78tQsiSp4ZDdW6XVQbPZ5/teEd7HdT4dBoMfuNbzrKpqnm25nWs25FXbJsv5PGxX/AsIXDDDcANbw3eZ8+GXB+ysytghEFrctS05NtvD59n1CjgqqvYTUcd0P0XlErBM65d61phyKAmE82+9kcNLwbOpyuN4Nnxbi7nOVgLTrKvVAKtrUZ+B1HGMHhOkecka16QrW6weg7tirY+1yApXXjDuE7rnM3dDbKcu+TaUGV9g1dcU5nOtA2ysV9Ix431vi8lcB+cgzXYK5nmzq+cfgIbDEYInu375GhcK3PI59QPZZR8gmfAv5/nqgPbyHfhVEu69RDLVrjKg+3ObvNm899+9dXA4sXAmjWhXUzMNDtM6mhLJniO0mDQ+t6GLmO/gWxt9XwlTj218pptXynLGDzXwEmbF2J0HzBh6/pIy0mpqKGz9/Ncnqi4iPucqcKC54Ex9m7vGDxThb2YKbMfpMSgOzPMVuBOWWKsoLNTUa59uqor5zz77NPf/C1wzz3mPLaBV6p/Mhzc2wZrgpuQ5v98jrvDiNNOK7/s6oQxpODZZxs1zlddZeTzaSjmWoHPfx5P9J+nucM+XJ9j2VL/Wa0nl5Frnt3v2xsrMHqmDGPwnCafk+zEKQVcdhnQNboz0uqMfp3D55s+zZiprbUyrThYXYNBR+CS5shWlDmOcuJTNLa9zTOefGWZfA6jRgGj+4LTNlT9zwmfL0IJOXzzm97pY6wuyru71Tvq3stykB5c82zHOLo56HZV5wk03eNva5ZFy/YV1wEADnSMAwqFcleP1XaR6C6vJ5/sP68s6gXPh5esNub32wg7cKYGwWioWh/7GPDnfx5pkfL13npMq1nTUFle0R+tlJ5GTV1dRiPmybZB/vbsqS7nmbVs5MfvJssiSxJdHcFVvq/tB55/ISxtw7bO4PaCWI/voO3w/vL2La1tArjxRuCWW5TLXXQhMENVe+76YAdaRieTtsHvUsNT/YsXL/b7I1yxpd253pg1t55AePJk33mt71LYAEGHVl1g7po5n/sgLFkSbSeJ6hR726jWmDG26qyILrnEGIrpxIgdwavylouK4SJGjoQAUEIeVkejeajz5MLSNnxfU9OzFwdVhdQddwC7fiuxyW8FpRKszAp3WoW7waA71VmW/Acpzn/zawBuLF/wp/TDaJgUULU2ce18jBnzGJ551rkdd5E/XOhx5lUj+AaCGo92Zxu2crJ6lfF76RLjB5/6lJGvVMV2kxqe2xMI33qr77xTphg9rU+YELzOSLXgTNugDGPNc4p8L6YtLcYdeMSrrZTe801JKjbU0oJXCmPxXG+lZmMS1I0Tw4JnR6DAtA2ysZeNPTNXet5/8EGJwQFXVGwvbzNmVCYXnfP51ejqDtYAVGrLVp8BdV/OdjfdhJZtWzybLClOkX41z62twPhxwDnnhu4aA+0mYP9+9PW53uzqqur8D1QWixtER9n82vMkLr8MWHxKSM5z+TPL0G0wdqYsYzSUIvfJLe7JQpa8g060FI8pz1AC+rl5nmX9Hsfzik829uJwZMyU8mtr3AMBGVwGFy4svwyseVb1oBHwZZqKHY55tEutcqx659LTprlq7FwjDF58MTB1CkIxcMgu3dNgcc68hLfsjJ6rPb9botQSC0jvDYBC+bth7RqjZ2pQDJ4Tds1G4Fqzd7cLLnS9GTt6VjQYDBh3u9rN+QYurHkmG3vZ6N73fGW6fR7NC3xwP8/+86mcPNXIeY449oQzgpfemrONG4Gz12gEHa2twe9TUyiuv7T8+tV95ot3vANYGtCtRRBX0Y97OamqLiSkrzoreNbZN8bOlGXMeU6YfbTR6RuX46o//ApPPAE88mj8dcuShHQPxV2C+iwoNE9gqno5vwaD7OeZfOx6vpJTb91jbcKXMB4v6a3AXVh9Eqq10jast8xguDTjBL19sDXgLT8at90wDu8BMHMGpF+DQcAYenTWLOBzHw7cVNxaQ6od3aAv11LpVLw8ovuCBcZPHEk9AYyynolml6Uh48OXg2edTTB6pgxj8JymOXPQ21sJqCP2TOQhJbyNBlX9PAMwImCNvFDlk2p1cMDQmfzMPEHgoR8Zrw8WRgF4VRk4+10vg/t5jtDdBoDBXKtjluM3vB1aTbNsQY3ypvIjHwHGjg1OZVptdNV1X+EcjJ8zwndTjBsaX65QufEat9S/JwtdOk9dogjrOcNh2TKgvz80eM4XXDXPTPWjBsXgOWmnnOJJ4Jwz1xjZ7IR1MdctpSeClVL61DwL/OY3wCnVbMenwSBPhORnoGh7JFLFE4pSMaCfZ0WDwaDg86VOoyGi7pDCqu0opykCB7+vxJcHriy/XrgA2P2y3i5Q/dM9DdqD0+K118XfcLnFYHX74xZpOSFCA2egEjzrPFjhDSRlGYPnpG3d6pmUE2avdLpDA/tQ9bYhSiXfs6DWo2FVY0M2GKSIOrpswXNAbrxfESq6euXwG4BFL23DGWFHqmFzOT4Qv8yvWOGdduaZwHe+EnvVVAPaaRs59evY2y3nFA1dg8Go60y6Wz2iesMWYGn71KeMfp0ToBqeO+gEuhgPa63TzRHg2M76jJ1Jpb8fWLBQYLTZGt/dsNRebNzlzeoq/RN3DDrfcKQOxeuqrpogwVr94aMhy1b5pZgwntVumRPxX22/acuJJP/fzh0ZkppnTZ60DaIGxeA5bV1dRnQBVH5XSZnzJkueEQYB/RNjSSpmtAXMjhoTn5WOG6e3LWo8b7oeOO9cQMgSplkj9LnLSUBZnGW25XMP4mMvd797xBY8l8LzNnbudM4bp9YvrOZMq1Z70qTqd4DqR8SAsJzCAKCwV7PhbOD21Wkb1Uqj5rkcPJt/jx6d+CaI6gLTNobCvHnARz9a/YiEFunt5xk+I62pAmpdfsNz+61z//h5wO7Hq94eZVd7u/nigQcqV8yct+a5XGHsKkNWoLsRX3Wu2DbfxOPPll/r5DwfPOScR+SjR8+6cVI+pzHn+98PFF0jfI4cifHjgNdei7pnVGvaOc/2TKY5EUeTDdq++XvmTOBJAJP7qzvXpxE8u7uqW7Va4A8+87J2mrKMwfNQGTs29iqUOc9SnfNcTde2ln37BYZZ6/Hr9cC9D9Tc/uzPIDfeabx2B8+26Fm4CvALO9Wrsxe1HhxUzOF/5T0RTxgvzMJdVc1zSM5mRztw5KjmultajB+7lStx8cX/XMWOUa1VMzx3nLx7P2ecASx6GRhxcnXLD0XaBsdIoUbF4DlDZEnCnWXh39uG5joVM973C4Hy+C4afdWxUQhhxgzs75kC4HlvRBlQPHI5b6UsAAx/4VEASzzTKznP4btkzRsncPEr27F74hICuPVWYGCgyhXQkItxmsu3JNdi0Hp6IwQwYkT1q0szbYOo0THnOUOMc6erS69SKaCf53Dlx+727ThGSam8HnF8r9Y6qTntnLAcgPei7CifruqmHxXPUa5LvH5IOd1KW9Lp87bcYLCK63nYDWE5MI/TEGzyZGD69PD5qD5E/VfbG1tXkTqUtjRqnj03qooLTPkhLKueKcPq7xtNZf3ufvWl9J7ApYyV32zvyN9yEf6j/Nq+6t5j6kYvHC2NAFtAq8h5tuTgTPHJQVHtDOD++322US5q+lXPqjKuq80cadsz4jaLfNOq5nSbRi1vXENS83yyN6dkV8esxLdLNNQYPNex8893/i1LUpnzrK541jsxhtXg+fb5TAQYF8cbbgAAyKIRGHsuyo4/neVtOR5QrlaVygHYapOlRFfIsIFxuqqz9I02lj3vPOf0ozBq1PidaD7aFaaOIebr71KbRh62Z50BXxBWPFOW1d83mgK5g93YOc8Rhnx9fofPOngSbF433ggsXQogoObZVhYXL3IWlmKVIwdJCXQNq/x90YWKeRIIni3uNQzAaABYhzER1aMECopvKlGVd3CpNBiM8nXmhYMyjA0Gs0TR3UYuZm8boecv20mfpzrS4Q5WJXKAma6xbKmzFI0dJ3B4t2od6nXbB0mxb6WvTzFzqYRqW3mVu8SzvluehrrmZNY8Nx3tNLWUap7La123Djh0yBiuspr1pNhVXRA2MKdGwHqTDJESKLz2inuq8gKuOkGNVwxmouqqzo7BAemy0ja8vW3YCpHrbu3C01Xd0PmPK3LV1cDWrcZ6XmmbYNuGaofitQcAgJw6di4PDNRS4C0lDY0xo42yVh4uoLMTeNObgLa2qtaXxrldZ50JjS5OVFMMnuuZq0ZBliSeuPVfHNME1GkbykwOnwAjiE7tBM+BBNjSJILyHl13ayNHAitPrfzdbaZiLF5cmTbMlp6xEr/ET/7PM5ASKIpK38nKol2SnqHCo7LK/55zNzmmb9gAXLLBiF+ouVRVcxopn0Ft1SrgwguBc8+NvSoA6fUA0t0NrDrd//24N7RE9YDBcz275hrHn799WOLYMeO11cNVlJ4uVHMmcffvHviCmpMVFwtXzbPjYjlzpmc550A85m/b+2vXVl6vwU/wXtwJuG8aVU9fSlL9RgTWJo6PcI4O2tYujC63WPZJRwJpG0IAkyYmlwGSRoNBALj2GmDuXP/3re9U2FNPonrG4DlDvvh3lddWTwN+wbNuzXOU3jaIgpTLkqugOWp/1693LjRmjDJ4Pj69Mpyxp5s4mDdstgWLZyn6i/ZrTBuBVf49F3oryTqBGkXKlkapOK3Vuf2k+cbvsWN440nZxeA5Q0ajMkjJH8csqryhOJurHo290tHvnS+B4JmVbwTANnKI+7QS0HDqppscfx7LdRi/Z51UnqZ8umzmM88xY+zShRd75ymV4jdOMve3VHQV8re/Hdi2zZlTQk2hUc53tQqeV68GrrsOmDq1JpsnSgR728iQq/D18uujnb2VN3T7dLbVAK5bC/zgh8lcCBrkWkJxSXXXcIF5x66a54FcG4AjjqBXtbiURki+erXxc0TxCFqWqq95Ln8vrOB50FX13N3tTMymhhd7SPa4rNH6ursTWZ1f8HzF5cCr+2Ks+M1vDoyMRU6gswONcxdCTYk1zxllzyvVHZ7bHsSMHGlOY9oGJURIK+lZf6AEANi+vNIYr9I1XGWZ0vyFiqWcgbGqnMqShIyZIMqeAchSKd41KgyLFgGbNxutVRPgd24f9aG3Y9abVla/4lNPBcaP90yeYj34vOwyYOJEDk1PmcbgOavsJz7d3jZUAUbIdUCr6yFGFoRKF1rdw90NBnOqa2mZvVxK85RkL1KD6y/1LuRuL6gop6WihIjdVZ2xI34jHlLzuHgDMLwHmDmjRjsghNHlRktL+Lw6q/OrGFm40OgCL2G7Os1hufv7gb/4i0pNOlEGMW0jo4TvH/4cj881a9R0ckZHH96BF/V2gRrYxRdL7NoNlE4W+NG9lelSCKy/KGBBW+1wCTkIADlU0iQKrd57/PLImqedBvzXf/ncGMZI2zB/TzzyNF4EII4ermo91DhmzgBmbgTQ0RhP44b6qSKrWKiRMHjOKEcfnZpda9hPltbbvbseBbDUfzsaJ9iW4rHQeajx5XPAlCnAc54yIwJjWHuXWSWRMwbstt3V5Qre4FlYA6Bcdx2weTPEsUqw3WFVaBXVo2/qsJ6mFOQgAKD95RcQ9D2hJhLhSdv6i4COeu0L3PbdWLMm/c3xASU1EqZtZJTjMbIyePZOstc8v7HtzwEAf/inBwK3oxN77Omc6r9RajqeVImQQuQYQ0V6T0n5Fp8WgxDGwrmc8iavVJSxa9esrwyHFKZqbsQmTAB6RyS/K0kbklQUBs/UQFjznFFHj9saDOouZG88NWKE1iI614ujBaO7LqkYAIOaiFW1FDF4tpfL8g2erWNlVfAsXau1115b1+jifb+IXTtgrXUQ7M+56bHqNB4eP2ogrHnOqHwhpLWUIqQeLFam5XfrZSlHqbljw8Em5xM8h9Xa2stYa7vxupCvlKV8qzdwdQ+Sklb3YeVYXlEjTk3Gtx9z0sHLAzUSngUyyt6gSkUVTAwM2oKN4mBi+1LSbX1Ijc0qdO4bLiGA3l7v/CZ7LHLNNQIrVgDTptkW9+mGzq+ruiNILsnU6iVkzHjWPDc9q39P9hJRFV4dqJEwbSOjWuUxHLX+8Blh0D11sChgdXKkW3kymFyMTY1u3Trg0CG8MWo1gPsr0wWAj37Uv783szD2dAM9PcDCBah0qgsA+TzOPAP42X2VSUEdaSQy8I+5jnlzgUmTgBEn12urLxoymzYZ3bj1e0dqDTR3bjr7k5BJE5FY93cql2wA/v0e4NxzUtsE0ZBjzXNGOQIHVc8arr+H9xiNVyylE2ZrbacUXMHtwrqFptbRAVx/PWRrm+sNAbS2Gu8rWLXGQkAdEedymO0qrrIknUPQC4ErLgdmmV3Jfv/bA9V9Bve+nboCI4bD2H9qbm1twCmnRFvms58F3vnOdPYnAZs3A2vXAfjAB1LbxtixwLatwIxa9Y9NlAIGzxml6nbOz7hxwMaNQGdrpRpZtGg+dKjZWLSUWa4yE1aEhH1o7Z4e43feliahWIFxU+ecPmoU0NoCCEh8+9J/iLDDAaw7TuuRPVEU7e3OslxnujqBQh7OmpW0rIwxaiFRnWHaRp07YSbw9Hbv9PB+nr0vj7SNqEzTbAiYO3YEwPCQuaycZ61VUoPzlK3QrupsNc9btgAPP2zkSlgUOUay5N+Hc7s8gsX4TUirgBBW3sZ55xlVZuxJhhpV2mklixcDTz3F4JkaCmue69zZZwNXX+WdHl7zXJm4r20c8P7340h7pdGWauCJai1caG2R0TN5y2Nn6fXg+a2yLAB0dRlDENu1tADve59jUqno38nMseNR042Cdk4wcKbG9elPA+94R7rb2LYN+OQn090G0RBj8JwFqorlnDPf0/O+bdJAvt3ZfYF7+SAhLQuXLQN6+kcYf7C3DQI85bFdHgmc/fARY/49xT7/maZPd/zp7m2jvGnNXSQiAJ2dQIEPoImiYvBc74YNUwYE/VNC+nm2TZI5RT+5ec1/vS0gXrzY+/auGWfi0PxT9dZFzSkkov3Sl40ZDh0Kvvk6musqv/YbeZu3b0RElDYGz/XuIx/BgU1v90xuF0cVM9vZRlwzR3qwD1ahm7ZhD1DGjPa+P+OyhZg936i5WHUOeyQg71ONsNrgYkmvvrggKg1eZVFR87xhA145kFSXWwzDiYhIjcFzvevuRnGsoiW0/dquSMHYty/wbcdwxkEco3h7YxXMnZ/DiPmTse27GzDnrrdqrZMamzt4fnWfz4ymq67WK4v7UenxQpm2ccEF2NMxVWtdRERE1WLwnAGq/ORBW0cpqtCjd1+li45yjGELNvyCZ3mkUqO9aZOza94Ds5c75m1thZETLQRwwQWuSJtIz4lzjLLYPSx4vkHbGCuiVHT281x+I6GsZ1Y8ExGRDwbPGaCKBw6OnxU8g2J5e9s/v3aA977rP5wTbINDHJy9xPFWFwddI4Wo7UZ1G6/ae3MRpaLyprEkeEojIqJ08UqTAargQsbsissveN77UiWv9PBVbwF6K93bCVeQ3tYGDh5BHq8diFb7q5tC5A6e2dsGERHVAvuoyQBVxXKxGDKD4m2dmmdpq7kbnHaCcz3uIP722x3BNREA7N8fbf78scMAgJ7Sa4Hz2YNnWSqpa6wTSttg1gYREflhzXMGqIIE+yAQocMfC+98vsvYnrm75/Esw8CZVCIGsMMe/RUAIIdiyJwVeZ95JdM2iIgoZbzSZIEiGCkVZeD7mqtxkhIznv+p//K6A6tQU4uc86zZ53gX3ii/zkHd0XNS7QWJiIj8MHjOAFVAEKXmuTxfWPAbEvUwMCEdR4IHFPTOv+wMrfnGdFWC5zyKPoOkJFNIBUfLJCIiHwyeM0DZVd2gfYbggKEcBmjUPAfFDKx5Jh2PPxYt8JQ9wwEAR4R+9y15FJUpGkzbICKitPFKkwGxGwyav63Yd8Z0/3mfeipgPQyeSUNLxEH+tEe7tL32q3nm4xEiIkobg+cMUKZtDJYC3w9aT3e3zwxS4tjxaPtG5BZ1rBzrpixKqkQePl3VuSY9jRM88+hg1gYREflh8JwByn6ebSMBhqVj9PWZL2LWHOv2x0vN7a0RR2m3ap7bpX6ytIBU5zy7Jr7cMS3azhAREYVg8JwBR456o4TTzrB30R0c1K5Z45zLqlV7BAuwE5Pxu9+53vDBJ+Kko61VYttW/fnl8QEAwOGIDQ2VBdI17bTTIq6TiIgoBIPnDDh0yDtt/Hhg2DDjdVhQWx4QxZzRHSLfc4/PgqEdPRPFt3uP3mno5fwE5wSNEQa3ba0u/4JZG0RE5IfBcxYon09H75SrHET7RQYhNc9M26A05AvRh+c2J3jYvxW9vYD48b1xdo2IiMiDwXMG+FX4alcEm/ONeO05AMCO0UsBAO04isnYCTGgbiXIimcaCh2dRsEa1hU8n+feLiRtY8J4AFOmVLVPOdY9ExGRDwbPWeBX8ywC3rfPOnIUAGDMS48AAMa9+hgAYBaMfummPP/z8joj7wdRTKP6jHI1LaRtn7fmWWOEwUWLqt8xIiIihUL4LFRrfaP9qp6t38FBbXH9pY7ZRHHQ8b6QJfciSjnealEKxk8Q2LgR6J4xNnA+WXIGz0KjwSDOO6+qffIE6kRERCaGQxnQ06OYWCjoVwQXjHska/6cK3guByXummfXBjhICmmpopPk4T1ATgQvJ6U7eFbMZJv47LiV5bIfVVLDfBMRUeNh8JwFqihhyRLdiufyDK+Nmw0AONDhrOGb+OKDWrvxwIMMKEjDqFHA/Pn681sFOCzoLlWRtlElZigREZEfBs8ZII4f807M5fBqIfgxd3l5MxDYc8LpAIB9nZMd7/cc3GW8CKnZY/ooacnlgHe+M/pyYcGzTo02g14iIkoZc56zrJzErNnVlzmSmzt39OHfAksRHpv0FV+OuofUrKJU3fb1AUuWhOcnuwuoKo1IsD6AiIjSxeA5y8rBs95sI0cJ7AYwqlfdQNAdVLu17no24g5SM+vpAQ4e1JgxlwPe9rbw+UJy8o1pWrsWauHCZNZDRESNh8FzBvhV4knd2j0z6Dj90jGY9D1g8jtnKGcrhXS6Idpa9bZHhOQzKLwNBtUjDMbpJ2PyZGDnTmDp0hgrISKihsbgOQu6u9XTzUfU2mOl9E/GtH/5GDB6tPL9sJrngRPmAviJ5taIkuXuUTGst41qXHB+MushIqLGxeA5A0RenccpI+Y8AwDGjPF9y13z7F5tabReA0WiVGikbTDmJSKitLF1TYbJhBtHhdU8s59niiLpYUa0hucmIiJKGYPnDGhp8XvHCB5Cg1rNQStKxeD5cnkGK1Q78+ZGGyQllrF8ykJERGoMnjPAN2jVDBR0B3wLq9ljRR/V0rp1wGWX2iboDM9drWuvTWY9RETUcJjznGUBgUJLARgY9H1bKSyl1C/3mmgo5HMS7e22CYryn8sBxTgbueUWYPduoJU9yxARkVqsaEgIcaUQ4nEhREkIscT13i1CiO1CiCeFEGvj7Sa9dYtiYkDwfN110bcRlrbBmmeKYn+uL9X1h6UriWqyrqdOBVasqG6HiIioKcStSnwMwGUAfm6fKISYC2AjgHkA1gH4ayFEPua2mlpB9YxA+Oc8t7QAY82ONfKaR/6YYhRwO+Y8U82xCBIRUY3FStuQUv4BUA5WsAHAV6WUxwA8J4TYDmAZgF/F2V7T8qvyDakKPv984NV9cD7qDnDnHRIzg3aDvW1QFEk/qpDSuUo+CiEiohpIK4l1IoCdtr93mdM8hBBbhRAPCSEe2rt3b0q70wAmT/ZMemVfQPAwYwba2oAJ4yNsY9euwLftNc/z50dYLzWlkllNfNFFCa3wooscFc+DsZKbiYiIqhMaPAshfiyEeEzxsyGJHZBSfkFKuURKuWS0z8h3BODWWz2TDh4yQonduxXzX3NN5bVGdxsPPgjMfvWXjmmeBoO2v1csD10lEQCgvS2hFZ15Jg5+6K7yn489FtzbxvJlSfc0TUREpJG2IaU8p4r1vgjAXlU6yZxGCZJmPZxUJYLaa6o1Hm9/5jPAmTKkARbTNqjG7EV5x47g4HjWrJR3hoiImlJaaRvfBrBRCNEmhJgG4AQAD6a0raZVDp79YojbbgMuuwzo7g5dV6kETJnK4JlSkGCxsZfB4TiQ3IqJiIg0xe2q7lIhxC4ApwL4rhDihwAgpXwcwNcB/B7ADwC8Q0rJDMWElWuc/YLavj5grV4vgWLgOEb1BeRpwJnzLE9erL2f1NySvOWyF8ml+HWCayYiItITt7eNfwPwbz7v3Qbgtjjrp2CdOAwgmeBkxQtfhxwTPI+91q90/ZsT2Co1MuF5kcA6+fSDiIhqjEPGZUjJ9e+aih0AgOFHVC0Go+k8th9SONfvTpXO2d5mEENhrCcjr5+dSNtiQ5Tu6ebOTW67REREJgbPGeIOni350kDsdfcfegyDrZ2B8zBgpmocm7MosXXZY+cZM0JmWM4uYYiIKHkMnjPEqsmbPt05PamxIvr+8IvA9+01zxyggkKlUETsN3AHe6cmvwEiIqIQDJ4zaMUK14RcMv9GMXDcNcEZ/XR0+L5F5CvJsmJf16HOscmtmIiISBOD5wyxap492RMJBCc7dgCHD4ftAAedoCiSv8MKTR3iXR0REaWMwXOGWMGzNz5IJmC4/wHXWt2rbW31f4/IT4KFxR48KwcHIiIiShmD5wwpZ2d4ap6HKIgoFFBEfmi2RZmXRnBrL+oCfBJCRERDj8FzhhRazcC1rd35Rg2qgdnzBmlLMN2H5Y6IiGqNwXOG9I0zxrR5461/6nxjCIPnz+Em/BYnQ+ZYA01Dz17UlTXbzCciIqKUxRphkIbW+vXAnu3A6KldjulyCAOGj35jDm6/fQ4YO1MtsOaZiIhqjTXPGdLWkcPkyVB0TTd0AcUVVwAPPcQKPtJgFhJZSidtg2WQiIhqgcFzllhBsytqYK8D1CwYMBMRUa0xeM4SK3hmf8uUBVagO4QNBhlcExFR2hg8Z0neTDQuFodme4xEKAYpWX6IiKjxMHjOEtY8UwYlNHq8gTd0RERUYwyes+Tcc43fI0Y4JqcVSzNOoTg6u4wC1NKS4Eodo6SwgBIR0dBjV3VZctppxg9RBlx5JbDrAaB/cnJ3d21tldfKEQYZUBMRUcpY89wAmMVB9Wj4cGDe3GTXmcsLnH56suskIiKKgsFzhk2fVus9IKoddtFIRES1wOA5w16/+FoAPo+vE8An4BSL9UgkyYIUsq6hHG2TiIiaE4PnDCvljJR1pm1QXapBwWToTEREaWPwnGHxK9kYatAQSLSvOuD13smh8yxflugmiYiIyhg8NzPGzpSmNNI2ALw462z/9ZrTCuxHiIiIUsLgOcNSr3lm/ijFUSoZv1mOiIiogTB4zrDYvQ0wdqY09fQYv5OuBg7KpTYLLZsBEBFRWvhwsxFU2TCrhBxyKCW8M0SmbduARx8F+voSXW1QcS9J3vEREVG6WPPcxBhmUKq6u4GVK1NbverJyA9/ZPzeuye1zRIRUZNj8NwIqu0SjNEzNajvtV5S610gIqIGxeA5w0QubvTLpGfKrqB7xkHRMnQ7QkRETYXBc5bFHYQiJDhm7ExZYzWibWtlk0EiIkoHg+cMixvccihjyjJV8V231vi9aCGDZyIiSgeD5yyzuuVinEAEAOjo5HeCiIjSxeC5qbHmmbJHln+z/BIR0dBj8JxlcQeEYNoGZZiy+JqNaGWJVc9ERJQOBs8ZZgUPIqVn1IytqR4FlXcWWSIiShuD5wyLHTMzOqYMU5V/K5VDcIBuIiJKCYPnJsacUcoiKyUjF3T2YtEmIqKUMHjOsLgVx6HLs2aa6lCxaPzO5f3LZ1qpTERERAyeGwDDBGomXZ1GiR/W7Q2e+TSFiIjSVqj1DlAMMWuGpQi+d2LFM9Wj89dJPPErYPZFQcEzbymJiCgdDJ4bQZWPqBkcUxbl88C8uQg8e7FoExFRWpi2kWGxh+dmiEFZZN0sKr4ArG8mIqK0MXhuAGwcRU1l6VJgxgxg7VrFm2ZXdbwvJCKilDBtowGkNsIgIxCqR11dwHvfq3yrfB/JG0oiIkoJa54zLHZsG7ICkWPwTBljlumcYPBMRETpYPCcYeWc5bTiBNY8ExERETkweG5ijI2p0Wy4RGBKP7BuXa33hIiIGhVznrMsZvQbtjh746CsGT7cDJyHMW2DiIjSwZrnDKsEv+kECu0dDJ4pY6wvBRsMEhFRShg8N4Iq4wTWLBMRERFFw+C5iYX2VMfeNiirWPNMREQpYfBM/tiikLJmwQLj98KFtd0PIiJqWGww2ACqrmRjP8/UaPr7gbvvrvVeEBFRA2PNc4bFDm5Zs0xEREQUCYPnZsacZyIiIqJIGDxnWLniOKXGUayYJiIiInJi8NzEQmNjRs9EREREDgyem1lAcHzNNUO4H0REREQZweC5EVSZtiECRlfp6a52Z4iIiIgaF4PnBlBtdgWzMoiIiIiiYfCcYdbw2hxMjYiIiGhoMHjOsIWLjN/Ll1e3vAxvMkhERERENgyeM2zyZIFtW4F586pbfsWKgCrru+6qbqVEREREDYzBcxNbcOsG/zd7eoZuR4iIiIgygsFzI6g26bnafA8iIiKiJsXgmTwuOL/We0BERERUnxg8N4IE+5ybOxeYPDmx1RERERE1FAbPjSDpvuruvjvZ9RERERE1CAbPWTZ2rPH7xBOTWyf7jCYiIiLyVaj1DlAMEycaXcp1JzeWNmNnIiIiIn8MnrOOXcoRERERDRmmbZDD831Lar0LRERERHWLwTM5HCt01XoXiIiIiOoWg2dyYdYzERERkR8Gz01uwgTXBMbORERERL4YPJNT0n1GExERETUQBs9NLpfc4IREREREDY/Bc5Nbvdo1gTXPRERERL4YPDe57hXzar0LRERERJnB4JkcJk2q9R4QERER1S8Gz81uzRrHn2vvXOMzIxERERExeG5285xpG2Kiu+86IiIiIrIweCYiIiIi0sTgmYiIiIhIE4NnIiIiIiJNDJ6JiIiIiDQxeCYiIiIi0sTgmYiIiIhIE4NnIiIiIiJNDJ6JiIiIiDQxeCbMm1vrPSAiIiLKBgbPRERERESaGDwTIGq9A0RERETZwOCZGDsTERERaWLwTERERESkicEzYaClo9a7QERERJQJDJ4JL4xbXutdICIiIsoEBs9ERERERJoYPBMRERERaYoVPAsh7hJCPCGEeEQI8W9CiBG2924RQmwXQjwphFgbe0+JiIiIiGosbs3zvQDmSykXAHgKwC0AIISYC2AjgHkA1gH4ayFEPua2KCU5IWu9C0RERESZECt4llL+SEo5aP55P4BJ5usNAL4qpTwmpXwOwHYAy+Jsi9L3ayyt9S4QERER1bUkc563APi++XoigJ2293aZ06gOCRg1z9sxs8Z7QkRERFTfCmEzCCF+DGCc4q0PSinvMef5IIBBAF+KugNCiK0AtgJAf39/1MUpCeYQg5JjDRIREREFCg2epZTnBL0vhHgzgIsArJFSWsmzLwKYbJttkjlNtf4vAPgCACxZsoTJtzXAkJmIiIhIT9zeNtYBeC+Ai6WUh21vfRvARiFEmxBiGoATADwYZ1tERERERLUWWvMc4nMA2gDcK4QAgPullDdKKR8XQnwdwO9hpHO8Q0pZjLktSolg1TMRERGRlljBs5TSt4WZlPI2ALfFWT8NrYULar0HRERERPWNIwxS2fIVrIImIiIiCsLgmSA4SAoRERGRFgbPVCYZQxMREREFYvBMeKNrLADgSHtvjfeEiIiIqL7F7W2DGsAz087Bv2IK3jxuVq13hYiIiKiuseaZACHwNGYxbYOIiIgoBINnYj/PRERERJoYPFMZa56JiIiIgjF4pnLNM4NnIiIiomAMnglbtgB9fcB119V6T4iIiIjqG3vbIEyfDuzdW+u9ICIiIqp/rHkmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0MXgmIiIiItLE4JmIiIiISBODZyIiIiIiTQyeiYiIiIg0CSllrfehTAixF8Dztd6PGusD8Eqtd6LGeAwMPA4GHgceAwuPg4HHgcfAwuNgqPY4TJFSjo66UF0FzwQIIR6SUi6p9X7UEo+BgcfBwOPAY2DhcTDwOPAYWHgcDEN9HJi2QURERESkicEzEREREZEmBs/15wu13oE6wGNg4HEw8DjwGFh4HAw8DjwGFh4Hw5AeB+Y8ExERERFpYs0zEREREZEmBs9ERERERJoYPMckhJgshPhPIcTvhRCPCyHeZU4fKYS4VwjxtPm715x+ohDiV0KIY0KI97jW9W5zHY8JIb4ihGj32eabzPU+LYR4k236bUKInUKI19P8zIr9qadj8DMhxJNCiP82f8ak+dld+1RPx+FqIcQj5jruSPNzK/YpyePwLvMYPC6EuDlgm+vM//t2IcT7bdPfaU6TQoi+lD6yan/q6Rj8oxDiOdt3YlE6n1q5T/V0HM4WQjxsruOfhBCFlD62ap+iHodN5vf3USHEL4UQC8M+n2KbWb9OpHkMsnSdSPM4ZOk6EXQc/l4IsUcI8VjINpO7Tkgp+RPjB8B4AIvN190AngIwF8CdAN5vTn8/gDvM12MALAVwG4D32NYzEcBzADrMv78O4M2K7Y0E8Kz5u9d83Wu+t8Lcn9eb+Bj8DMCSZi4LAEYBeAHAaHO+fwKwJoPHYT6AxwB0AigA+DGAmYrt5QE8A2A6gFYAvwMw13zvZABTAewA0Nekx+AfAVyR8e9ErOMAo6JoJ4BZ5nwfBfDWOj4OK1E5p50P4IGw/7Nre41wnUjzGPwM2blOpHIckL3rhPI4mH+vBrAYwGMB20v0OsGa55iklC9JKR82Xx8C8AcYwc8GGIUR5u9LzHn2SCl/DWBAsboCgA6zRqQTwB8V86wFcK+Ucp+Ucj+AewGsM9d9v5TypaQ+m656Oga1VEfHYTqAp6WUe835fgzg8vifUE+Cx2EOjBPkYSnlIID7AFym2OQyANullM9KKY8D+Kq5LUgpfyul3JHgx9NST8egluroOIwCcFxK+ZQ5372o7+/EL83vNADcD2CS+Vr3/9wI14nUjkEt1dFxyNp1wu84QEr5cwD7QjaZ6HWCwXOChBBTYdzBPABgrO0EtRvA2KBlpZQvAvgEjDvBlwAckFL+SDHrRBg1KJZd5rS6UCfH4B/MR3EfEkKIqj5ITDU+DtsBzBZCTDWD70sATK76w8QQ5zjAqGlcJYQYJYToBHAB1J+jYb8TSO4Y3GY+8vy0EKKtio8RW42PwysACkIIawSyK3yWT10Vx+GtAL5vvtYt6432nUjjGGTxOpHkccjydcJ+HHQl+p1g8JwQIcQwAN8EcLOU8qD9PWk8F5Ahy/fCuAuaBmACgC4hxOaUdjcVdXIMNkkpTwKwyvy5LuLysdX6OJh3538C4GsAfgHjUVQxwkdIRNzjIKX8A4A7APwIwA8A/Ddq8DniqJNjcAuAE2GkQ4wE8L6Iy8dW6+NgbmMjgE8LIR4EcCjK8kmJehyEEGfBCBSG/H+Wljo5Bpm7TiR9HLJ6naiX7wSD5wQIIVpg/PO/JKX8ljn5ZSHEePP98QD2hKzmHADPSSn3SikHAHwLwEohxHJbo4aLAbwI593hJHNaTdXLMTBrba3HQF+G8ahmyNTRcfiOlHK5lPJUAE/CyCcbMgkdB0gp/05KeYqUcjWA/QCeMhuaWMfhRjT2dyL2MTAfj0op5TEA/4BsfieSOA6/klKuklIuA/Bz1Pl3QgixAMAXAWyQUr5qTlZ+vka9TqR1DLJ2nUjxOGTqOuFzHPzWne51QtYgYb6RfgAIAP8M4DOu6XfBmfR+p+v9j8DZIGY5gMdh5LcKGLk+Nym2NxJGY7Je8+c5ACNd8wx1Q5C6OAYw8oT7zHlaAPwrgBub7TiY740xf/fCqKWblbXj4Poc/QCeADBCsb0CjEYw01BpCDLPNc8ODG2Dwbo5BgDG2/bpMwBub9LjYC3fBuAnAM6u1+NgfsbtAFZGLevmfJm/TqR1DJCx60SaZQEZuk74HQfbclMR3GAw0evEkH1xGvUHwOkwHis8Yha+/4aRjzcKxgn6aRiJ+FZhHQcj1+YggNfM1z3me/8TxkXhMQD/AqDNZ5tbzEK0HcBbbNPvNNdXMn9/pJmOAYAuAL8x9+NxAJ8FkG/SsvAVAL83fzZm+DvxC/Mz/A4BLcHN9T8FozX1B23T/9Rc3yCMRpdfbMJj8FMAj5pl6f8CGNakZeEuGI2SnoTxiLievxNfhFG7bs37UNjnU2wz69eJVI4BsnedSLMsZOk6EXQcvgKjfdCAWaaVPen4HS9UcZ3g8NxERERERJqY80xEREREpInBMxERERGRJgbPRERERESaGDwTEREREWli8ExEREREpInBMxERERGRJgbPRERERESa/j9q2fDBiyOS0QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "plt.plot(pivoted.index, pivoted.temp_absolute_original, color='blue', label='original')\n",
    "plt.plot(pivoted.index, pivoted.temp_absolute_forecast, color='red', label='forecast', alpha=0.6)\n",
    "plt.title('Temperature forecasts - absolute data')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "pivoted = frame.pivot_table(index='day', columns='type')\n",
    "pivoted.columns = ['_'.join(x).strip() for x in pivoted.columns.values]\n",
    "pivoted['res'] = pivoted['temp_absolute_original'] - pivoted['temp_absolute_forecast']\n",
    "pivoted['res_abs'] = [abs(x) for x in pivoted['res']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp_forecast</th>\n",
       "      <th>temp_original</th>\n",
       "      <th>temp_absolute_forecast</th>\n",
       "      <th>temp_absolute_original</th>\n",
       "      <th>res</th>\n",
       "      <th>res_abs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-11-30 14:00:00</th>\n",
       "      <td>-0.793414</td>\n",
       "      <td>-0.791943</td>\n",
       "      <td>-0.523923</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.013923</td>\n",
       "      <td>0.013923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 15:00:00</th>\n",
       "      <td>-0.823321</td>\n",
       "      <td>-0.797228</td>\n",
       "      <td>-0.806867</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>0.246867</td>\n",
       "      <td>0.246867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 16:00:00</th>\n",
       "      <td>-0.825288</td>\n",
       "      <td>-0.798285</td>\n",
       "      <td>-0.825478</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.255478</td>\n",
       "      <td>0.255478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 17:00:00</th>\n",
       "      <td>-0.825989</td>\n",
       "      <td>-0.816253</td>\n",
       "      <td>-0.832110</td>\n",
       "      <td>-0.74</td>\n",
       "      <td>0.092110</td>\n",
       "      <td>0.092110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 18:00:00</th>\n",
       "      <td>-0.841069</td>\n",
       "      <td>-0.835279</td>\n",
       "      <td>-0.974783</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>0.054783</td>\n",
       "      <td>0.054783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 19:00:00</th>\n",
       "      <td>-0.861765</td>\n",
       "      <td>-0.836336</td>\n",
       "      <td>-1.170583</td>\n",
       "      <td>-0.93</td>\n",
       "      <td>0.240583</td>\n",
       "      <td>0.240583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 20:00:00</th>\n",
       "      <td>-0.865690</td>\n",
       "      <td>-0.835279</td>\n",
       "      <td>-1.207718</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>0.287718</td>\n",
       "      <td>0.287718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 21:00:00</th>\n",
       "      <td>-0.868307</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.232481</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.382481</td>\n",
       "      <td>0.382481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 22:00:00</th>\n",
       "      <td>-0.869778</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.246393</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.396393</td>\n",
       "      <td>0.396393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-30 23:00:00</th>\n",
       "      <td>-0.868842</td>\n",
       "      <td>-0.827880</td>\n",
       "      <td>-1.237538</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>0.387538</td>\n",
       "      <td>0.387538</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     temp_forecast  temp_original  temp_absolute_forecast  \\\n",
       "day                                                                         \n",
       "2020-11-30 14:00:00      -0.793414      -0.791943               -0.523923   \n",
       "2020-11-30 15:00:00      -0.823321      -0.797228               -0.806867   \n",
       "2020-11-30 16:00:00      -0.825288      -0.798285               -0.825478   \n",
       "2020-11-30 17:00:00      -0.825989      -0.816253               -0.832110   \n",
       "2020-11-30 18:00:00      -0.841069      -0.835279               -0.974783   \n",
       "2020-11-30 19:00:00      -0.861765      -0.836336               -1.170583   \n",
       "2020-11-30 20:00:00      -0.865690      -0.835279               -1.207718   \n",
       "2020-11-30 21:00:00      -0.868307      -0.827880               -1.232481   \n",
       "2020-11-30 22:00:00      -0.869778      -0.827880               -1.246393   \n",
       "2020-11-30 23:00:00      -0.868842      -0.827880               -1.237538   \n",
       "\n",
       "                     temp_absolute_original       res   res_abs  \n",
       "day                                                              \n",
       "2020-11-30 14:00:00                   -0.51  0.013923  0.013923  \n",
       "2020-11-30 15:00:00                   -0.56  0.246867  0.246867  \n",
       "2020-11-30 16:00:00                   -0.57  0.255478  0.255478  \n",
       "2020-11-30 17:00:00                   -0.74  0.092110  0.092110  \n",
       "2020-11-30 18:00:00                   -0.92  0.054783  0.054783  \n",
       "2020-11-30 19:00:00                   -0.93  0.240583  0.240583  \n",
       "2020-11-30 20:00:00                   -0.92  0.287718  0.287718  \n",
       "2020-11-30 21:00:00                   -0.85  0.382481  0.382481  \n",
       "2020-11-30 22:00:00                   -0.85  0.396393  0.396393  \n",
       "2020-11-30 23:00:00                   -0.85  0.387538  0.387538  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivoted.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average absolute mean error: 0.48 C\n"
     ]
    }
   ],
   "source": [
    "print(f\"Average absolute mean error: {round(pivoted['res_abs'].sum() / pivoted.shape[0], 2)} C\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.hist(pivoted.res, bins=40, edgecolor='black')\n",
    "plt.title('Distribution of errors')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.hist(pivoted.res_abs, bins=40, edgecolor='black')\n",
    "plt.title('Distribution of absolute errors')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    27096.000000\n",
       "mean         0.480791\n",
       "std          0.467825\n",
       "min          0.000008\n",
       "25%          0.168428\n",
       "50%          0.348462\n",
       "75%          0.645027\n",
       "max          7.263866\n",
       "Name: res_abs, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivoted.res_abs.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sequence prediction "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Number of lags (hours back) to use for models\n",
    "lag = 168\n",
    "\n",
    "# Steps ahead to forecast \n",
    "n_ahead = 24\n",
    "\n",
    "# Share of obs in testing \n",
    "test_share = 0.1\n",
    "\n",
    "# Epochs for training\n",
    "epochs = 20\n",
    "\n",
    "# Batch size \n",
    "batch_size = 512\n",
    "\n",
    "# Learning rate\n",
    "lr = 0.001\n",
    "\n",
    "# Number of neurons in LSTM layer\n",
    "n_layer = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "X, Y = create_X_Y(ts_s.values, lag=lag, n_ahead=n_ahead)\n",
    "\n",
    "n_ft = X.shape[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of training data: (243734, 168, 7)\n",
      "Shape of the target data: (243734, 24)\n",
      "Shape of validation data: (27082, 168, 7)\n",
      "Shape of the validation target data: (27082, 24)\n"
     ]
    }
   ],
   "source": [
    "# Spliting into train and test sets \n",
    "Xtrain, Ytrain = X[0:int(X.shape[0] * (1 - test_share))], Y[0:int(X.shape[0] * (1 - test_share))]\n",
    "Xval, Yval = X[int(X.shape[0] * (1 - test_share)):], Y[int(X.shape[0] * (1 - test_share)):]\n",
    "\n",
    "print(f\"Shape of training data: {Xtrain.shape}\")\n",
    "print(f\"Shape of the target data: {Ytrain.shape}\")\n",
    "\n",
    "print(f\"Shape of validation data: {Xval.shape}\")\n",
    "print(f\"Shape of the validation target data: {Yval.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = NNMultistepModel(\n",
    "    X=Xtrain,\n",
    "    Y=Ytrain,\n",
    "    n_outputs=n_ahead,\n",
    "    n_lag=lag,\n",
    "    n_ft=n_ft,\n",
    "    n_layer=n_layer,\n",
    "    batch=batch_size,\n",
    "    epochs=epochs, \n",
    "    lr=lr,\n",
    "    Xval=Xval,\n",
    "    Yval=Yval,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_5\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_3 (InputLayer)         [(None, 168, 7)]          0         \n",
      "_________________________________________________________________\n",
      "lstm_2 (LSTM)                (None, 10)                720       \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 24)                264       \n",
      "=================================================================\n",
      "Total params: 984\n",
      "Trainable params: 984\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "477/477 [==============================] - 30s 62ms/step - loss: 0.4952 - val_loss: 0.2761\n",
      "Epoch 2/20\n",
      "477/477 [==============================] - 30s 63ms/step - loss: 0.2526 - val_loss: 0.2215\n",
      "Epoch 3/20\n",
      "477/477 [==============================] - 27s 56ms/step - loss: 0.2167 - val_loss: 0.2071\n",
      "Epoch 4/20\n",
      "477/477 [==============================] - 24s 51ms/step - loss: 0.2070 - val_loss: 0.2002\n",
      "Epoch 5/20\n",
      "477/477 [==============================] - 20s 43ms/step - loss: 0.2010 - val_loss: 0.1960\n",
      "Epoch 6/20\n",
      "477/477 [==============================] - 19s 41ms/step - loss: 0.1971 - val_loss: 0.1929\n",
      "Epoch 7/20\n",
      "477/477 [==============================] - 19s 40ms/step - loss: 0.1943 - val_loss: 0.1903\n",
      "Epoch 8/20\n",
      "477/477 [==============================] - 19s 40ms/step - loss: 0.1921 - val_loss: 0.1884\n",
      "Epoch 9/20\n",
      "477/477 [==============================] - 19s 40ms/step - loss: 0.1902 - val_loss: 0.1868\n",
      "Epoch 10/20\n",
      "477/477 [==============================] - 19s 40ms/step - loss: 0.1887 - val_loss: 0.1855\n",
      "Epoch 11/20\n",
      "477/477 [==============================] - 29s 61ms/step - loss: 0.1874 - val_loss: 0.1842\n",
      "Epoch 12/20\n",
      "477/477 [==============================] - 28s 60ms/step - loss: 0.1863 - val_loss: 0.1831\n",
      "Epoch 13/20\n",
      "477/477 [==============================] - 31s 64ms/step - loss: 0.1853 - val_loss: 0.1822\n",
      "Epoch 14/20\n",
      "477/477 [==============================] - 22s 45ms/step - loss: 0.1843 - val_loss: 0.1812\n",
      "Epoch 15/20\n",
      "477/477 [==============================] - 26s 55ms/step - loss: 0.1835 - val_loss: 0.1804\n",
      "Epoch 16/20\n",
      "477/477 [==============================] - 28s 58ms/step - loss: 0.1827 - val_loss: 0.1797\n",
      "Epoch 17/20\n",
      "477/477 [==============================] - 28s 59ms/step - loss: 0.1819 - val_loss: 0.1792\n",
      "Epoch 18/20\n",
      "477/477 [==============================] - 28s 59ms/step - loss: 0.1813 - val_loss: 0.1788\n",
      "Epoch 19/20\n",
      "477/477 [==============================] - 23s 48ms/step - loss: 0.1806 - val_loss: 0.1786\n",
      "Epoch 20/20\n",
      "477/477 [==============================] - 25s 52ms/step - loss: 0.1801 - val_loss: 0.1785\n"
     ]
    }
   ],
   "source": [
    "history = model.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history.history.get('loss')\n",
    "val_loss = history.history.get('val_loss')\n",
    "\n",
    "n_epochs = range(len(loss))\n",
    "\n",
    "plt.figure(figsize=(9, 7))\n",
    "plt.plot(n_epochs, loss, 'r', label='Training loss', color='blue')\n",
    "if val_loss is not None:\n",
    "    plt.plot(n_epochs, val_loss, 'r', label='Validation loss', color='red')\n",
    "plt.legend(loc=0)\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Forecasting on all the samples in the validation set \n",
    "forecast = model.predict(Xval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4ohMlLr7wxhklIXLzsvLzlNg7vmKU0bUnf4P8bOV596oCGRNRJj1QJLkhTIbBYGDNoTgm/hJFZm4+73Sqx+iWNQqqNUqDVqvB39Pxnktc1HKvuAKqVmLDy+5sOH6VaRGneXn5YaZtPs2LT9SmW5BXqf6uhBBCCCGEKJCRcHcT0OWDoeMncHwt1GoLdTpCnfbKUokHKS9NQMuCMZNBD0qUWNqCay3lqygGA6RfV5IdVvZFV4Hk5RQ/rhKQ5IYwCVdTsvjPmr/ZfPIaYdVd+KJvELXcH7Ib8iMqyRKXsnCvuLRaDZ0bVuWpBlXYePwq0zaf5tUVR/h68xlefKI23YMlySFERdS5c2eWLl2Ks7PzPR/z3//+l9atW9OuXbtib3/btm1MnjyZ9evXP0KUQgghyo2cjKJPZN3rwRtnpV9GaTNWMuhREyUaDTi4K1/3qgIpo78FSW4IVRkMBlYeiOWj9VHk5ut5r2t9Rjb3k2UWD0Gr1dCpYVU6NqjCH1HxTNt8mgk/HuHrzad54Yk69AyRJIcQFYHBYMBgMPDbb7898LEffvhhGUQkhBCiXIs/DjunQUD3ok9kbSpJYsPcGCtRUpLlMkYkZz5CNXHJmYyYt583Vx39Z7lFa0a3rCGJjWLSajU8FViFX19syXfDwrCz0vH6yiM8+dWfrIyMIS9fj15vICE1m7ikDBJSs9HrK8wEaCHKha+++orAwEACAwOZOnUqFy5cwN/fn+HDhxMYGEhMTAx+fn5cv34dgI8++gh/f39atmzJoEGDmDx5MgAjR45k1apVAPj5+fH+++8TGhpKw4YNOXnyJAD79u3jscceo1GjRjRv3pzo6Gh1XrQQQgjTcnE3LB0As5rDifXKyeuAJcoJLEgTUFG4CuSVY8ptGY6UlcoNcV96vYHE9Byj9KO4c1spWXl89MtxjsSmMLF7A4Y1q656nwtzp9Vq6NigCh3qe7Lpn0qON1YdJeJEPM89XpsXlh4s1JzU39NRfudCFNPEX44TdfmmUbdZ36sS73drcM+fHzhwgHnz5rF3714MBgNNmzalTZs2nD59mgULFtCsWbNCj9+/fz+rV6/myJEj5ObmEhoaSlhYWJHbdnNz4+DBg8ycOZPJkyczd+5c6tWrx/bt29HpdERERPB///d/rF692qivWQghhJnQ6+H0H7BjCsTsAdvK0PY/0HgM2FVWfi5NQMWdVOydYvLJjaysLFq3bk12djZ5eXn07duXiRMnMmTIECIjI7G0tKRJkyZ89913WFpaqh1uuaLXG4iOT71rYsfDnhQrpdKgNxjI1xs4m5DOuEW3t/Vl/2B8K9tR1cm2DF5NxaHRaOjQoArt63uy+cQ1rC21BYkNgNikTMYujGTN+BYm2WtECFHYjh076NWrF/b29gD07t2b7du3U7169bsSGwA7d+6kR48e2NjYYGNjQ7du3e657d69ewMQFhbGTz/9BEBKSgojRozg9OnTaDQacnNzS+FVCSGEMGn5uXBsNeyYCgknlDGfnb6ARkOVppG3SBNQYUJMPrlhbW3Nli1bcHBwIDc3l5YtW9KpUyeGDBnC4sWLARg8eDBz587lueeeUzna8iUxPacgsQG3T4ondm/AhB+PoL8jeaF8KQkN/T/3Ge5Y+fDdsDA+Wh9VaFuv/XiENeNblCy4+83UFoCS5GhX35O4pIyC3/stsUmZ5OTlqxSZEObrfhUWZe1WsuNRWFsrCU4LCwvy8vIAeO+992jbti1r1qzhwoULPP7444+8HyGEEGYiJwMOLYJd3yjTL9wDoNdsCOwNFnIhWZg2k09uaDQaHByUqRm5ubnk5uai0Wjo3LlzwWOaNGlCbGysWiGWW5m5eUWeFHtWsqFniBcajQatRoNWoyyJ0Gi4/W+N5p+fK9/7VrbD3cGSaV298LDTcC3DwMfbEkp2gl3kTO1lJV/PVc4TJVY6C3xcbAv9t/RxscVKZ6FiVEKIh9WqVStGjhzJ22+/rYzMXrOGRYsWMXv27CIf36JFC5555hneeecd8vLyWL9+PePGjXvo/aWkpODt7Q3A/PnzjfEShBBCmJKijn2zkmHfHNj3HWQkQrVm0Hky1OlQro6LRflm8skNgPz8fMLCwjhz5gzPP/88TZs2LfhZbm4uixYtYtq0aUU+d/bs2QUHgAkJCWUSb3mQmpXLxcSMIk+KPSvZMLFHYLG2l5SexbzO9jiv6wfJl6jm7Mu8HgswWBXxZqnPh6wUyExSbrOSITP59vd+rWDV0/+aqT0I+i2ACzuUUrlbX5Z2YOUAVnb/+t5eeaM2dqLEBLnaWzFnePhdy4tc7aWLtRDmIDQ0lJEjR9KkSRMAxowZg4uLyz0f37hxY7p3705QUBCenp40bNgQJyenh97fm2++yYgRI/j444/p0qXLI8cvhBDChBR17NtnLkR8CBd3QN2noMUrUP0xtSMVotg0BoPBbMYmJCcn06tXL7755hsCA5WT67Fjx2Jvb8/UqVMf+Pzw8HAiIyNLOUrzl5Wbz9Pz9pOTl8/73RswfsmjN6I0pMaj+b7dXaOiDD1nodn22T/Ji2TlNif1/hsb+RvM71zE/b/C/GIciOtsod98+P2Nu0dYjYkoV+sHbzVzTcrI4fz1dGwttbSu66F2WEKYhRMnThAQEKB2GMWSlpaGg4MDGRkZtG7dmtmzZxMaGlom+y7q91UeP3/L42sSQlQAafEw9+5jcnrNBhsn8KyvXmxCPIT7ff6aReXGLc7OzrRt25YNGzYQGBjIxIkTSUhI4LvvvlM7tHIjL1/Pi8sOsftcIlMHhBDo5cSa8S0eeVqKJvtm4TdRgORLaCyslEoN52pgEwg2zmDrrLy5Fnz/z79vfZ+TWvRMbdc68E4s5KTf/srN+Nf3acpawpx0yE0Hx6pFxkXWTbD3AE35mCai1Wpwd7Smsr0VLy8/TGpWLptfa4O1LE0RolwaN24cUVFRZGVlMWLEiDJLbAghhDBhN84rx8BFHfs6+SjH40KYMZNPbiQkJGBpaYmzszOZmZls2rSJt956i7lz57Jx40Y2b96MtpwsH1CbXm/g7Z/+ZlNUPBO7N6BnI2XN9SNN1EiNhz/ehfrdi05IuFSHUb8Xb5s6G2XpyL+Xktj/0yvD2vHht5UWX3RcCSdh+RBlzFXwQLCpVLwYTZSFVsP/da7HsO/3sWj3Rca0qql2SEKIUrB06VK1QxBCCGEKMm7A8TVw9EdllOuAxUUf++pkubIwfyaf3Lhy5QojRowgPz8fvV5P//796dq1KzqdjurVq/PYY8p6sN69e/Pf//5X5WjNl8Fg4JPfTrDqQCyvtKvDiOZ+j7bB/DzYPwe2fgJ5WeDbHAYuheWDCyck7NyLv22tVumJYYyZ2nbuRSRKlkJKnNKb4/c3YPNECBoATcaCh3mVphelVR13Wtd15+vNp+kb5oOznXyYCSGEEEKUG3nZcGojHF0Bp/+A/BxwrwdPvg8+jYu+SFiSY3IhTIzJJzeCgoI4dOjQXfffGlknjGPmtrPM3XGekc39ePnJOo+2sUt74dfXIP5vqPUkdJ4ErrWUBkbGSEiA8WZq3ytRUqUh+D8FsQeUJM2hxRD5vdLMtPEYqNfFrMdh/V/nenSetp3pW87wbldZWymEEEIIYdYMBri0B44uVyo1slKUJdaNx0LwAKgSdHu5tb2H8Y7JhTAhJp/cEKVv8Z6LTNoYTa9G3vy3a300Je0zkX4dNr0PhxdDJW/ovxACut9+IzVWQsLY7heXT5jy1eFjOLgQIufByhFKr46wpyFsJDia4Gt6gHpVKtE3zIeFuy8y/DE/fF3t1A5JCCGEEELcS1HjW7VauH5GSWgc/RGSLyrTAet1VRIaNR4HiyJO90z1mFyIRyTJjQrulyOXeW/dMZ6s58EXfYNK1CwUfT4cmA+bP1QadrZ4GVq/CdYORo9XNfZu0GqC8tpObVSqObZ9An9NUvqJNB4Lvs2UrHlRHzwmaEJ7f345coUvNp5k+mBpNiiEEEIIYZKKGt/adx5E/gCHl4BGCzUfh7b/pyQ2ytMxuBDFIMmNCuzPUwlM+PEwjatXZsaQUCwtSnASHndAWYJy+ZCyZKPzZPCoZ/xgTYXWAup1Vr6un4H9c+HwUji2Ghr2h6bPwKqnC69h9KhvkgmOKk42jG1Vg6+3nGF0yyQa+bqoHZIQ4h6+/vprZs2aRWhoKEuWLFE1lrVr11K3bl3q15clbUIIUSYyEm4nNkC5XfU0dJ2qHGcG9oFKVVUNUQhTYHpnXKJMHLh4g2cXHaCOhyNzR4ZjY1nMkaAZN+CXV2DOk3DzMvSeCyN+Kd+JjX9zqw2dPoPXTigfLsEDbyc2QLldPkj5QDJR49rUws3Bik9+O4HBYFA7HCHEPcycOZNNmzY9VGKjtHtSrV27lqioqFLdhxBCCG730bh5pejxrW51ofkLktgQ4h+S3KiATl69ydPz9lPFyYaFo5tQyaYYjTH1eji4CKaHKz0omj0HL0RCUL/bvTUqGit7CH9a+YAp6oMnL0eduB6Cg7WOV9vXZf+FJP6Iilc7HCFEEZ599lnOnTtHp06d+PLLL+nZsydBQUE0a9aMo0ePAvDBBx8wbNgwWrRowbBhw0hISKBPnz40btyYxo0bs3PnTgDS0tJ4+umnadiwIUFBQaxevRqA5557jvDwcBo0aMD7779fsO+3336b+vXrExQUxOuvv86uXbv4+eefeeONNwgJCeHs2bNl/wsxssOHD9OsWTNCQkIIDw9n3759aockhKjobpyHbZ/B143gh47KhURn38KPkfGtQtxFlqVUMJcSMxj2/T7srHQsGt0ENwfr+z/hzuZF+jzYPgUOLYBqzaDLZGWqiFDorMxybviA8GrM23mBz38/yRP1PEq2PEmIiuL3t+Hq38bdZpWGShXYPXz77bds2LCBrVu3MnHiRBo1asTatWvZsmULw4cP5/DhwwBERUWxY8cObG1tGTx4MK+++iotW7bk0qVLdOzYkRMnTvDRRx/h5OTE338rryEpKQmA//3vf1SuXJn8/HyefPJJjh49ire3N2vWrOHkyZNoNBqSk5Nxdname/fudO3alb59+xr396CSN998k/fff59OnTrx22+/8eabb7Jt2za1wxJCVDRZKXB8LRxZDpd2ARqo0RravAU12sj4ViEegiQ3KpBrN7MY+v1ecvP1LH3mMXxcHjAho6jmRT1mgH8nqNvRJPtIqMrO/e4Pnu7TIe6QMlbWROkstLz9VD3GLIxk2b5LDH/MT+2QhBD3sGPHjoJqiyeeeILExERu3rwJQPfu3bG1tQUgIiKi0NKRmzdvkpaWRkREBMuXLy+438VF6bXz448/Mnv2bPLy8rhy5QpRUVHUr18fGxsbRo8eTdeuXenatWtZvcwypdFoCn6HKSkpeHl5qRyREKLCyM+Ds1vgyDKI/g3yssC1Djz5X6WXm3O124/1qC/jW4V4AEluVBApGbkM/2Ef19OyWTq2GXU8HR/8pKKaF617XnljlTfTu2m1hT94tDrY/pUyWaXbVGVsrIl6MsCDZjUrMy3iNL0aeeNYnKVKQlQk96mwUJu9vX3B93q9nj179mBjY/PA550/f57Jkyezf/9+XFxcGDlyJFlZWeh0Ovbt28fmzZtZtWoV06dPZ8uWLaX5ElQxdepUOnbsyOuvv45er2fXrl1qhySEKC/uNb716t9KhcbRHyH9GthWhtDhSv82r9Cil3rL+FbV6PUGEtNzyMnLx0pngau9VckmTIpSJ2eoFUBGTh6jFuznXEI6c4aHE1LN+eGemJlkdj0kVHfrg8e5mtLcqcNHULsd/PIy7JujdnT3pNFo+E/n+iSm5/Dtn+a/hl6I8qpVq1YFTUW3bduGm5sblSpVuutxHTp04Jtvvin4962lK+3bt2fGjBkF9yclJXHz5k3s7e1xcnIiPj6e33//HVD6c6SkpNC5c2emTJnCkSNHAHB0dCQ1NbW0XmKpaNeuHYGBgXd9rVu3jlmzZjFlyhRiYmKYMmUKo0ePvud2Zs+eTXh4OOHh4SQkmG6zaCGECbhVAT23HUwNVG4vH4DVY+HblrD3O6jWBAYsgdeiofMk8A6ruD3sTJRebyA6PpVeM3fS4vOt9Jq5k+j4VPR6acRviiS5Uc7l5Ol5bvFBDl1K4utBIbSo7fbgJxkMsP1LuH5amhc9KksbGLgE/LvAb6/DrulqR3RPDX2c6Bnixdzt57mcnKl2OEKIInzwwQccOHCAoKAg3n77bRYsWFDk477++msiIyMJCgqifv36fPvttwC8++67JCUlERgYSHBwMFu3biU4OJhGjRpRr149Bg8eTIsWLQBITU2la9euBAUF0bJlS7766isABg4cyKRJk2jUqJHZNBSNiIjg2LFjd3316NGDBQsW0Lt3bwD69et334ai48aNIzIyksjISNzdZa27EOI+ihzfOgpCBkPnyUpCY+ASCOgqx9YmLDE9h7ELI4lNUo6NY5MyGbswksR0udhrimRZSjl0q3QqOy+fy8lZ3MzM5dPeDXkq8CHGROXlKFUGR5ZCqzdg4FJYPliaFz0KnTX0XwCrR8Mf/4H8bGj1mtpRFen1jv78duwqX/5xii/7B6sdjhDiHxcuXCj4fu3atXf9/IMPPij0bzc3N1asWHHX4xwcHIpMiMyfP7/I/RZ1ot+iRYtyNQrWy8uLP//8k8cff5wtW7ZQp04dtUMSQpi7lNh7V0C71oZabdWJSxTbzazcgsTGLbFJmeTk5asUkbgfSW6UM7dKp25lGH1cbPlmUCOCfZwf/OSMG7BiGFzcAY+/o3RnNhikeZExWFhCnx/A4lnY/CHk5yq/XxMrPfRxsePp5n7M3n6OUS39aODlpHZIQghRqubMmcPLL79MXl4eNjY2zJ49W5U4ZE23EGZOr1eag0b+AKd+h/4LzXKKnlAYDAa+/fMcNd3t8XGxLZTg8HGxJTkjF28XFQMURZKz1HKmqNKpF5cdenDp1PUzylrA2H3Qew48/rZy4n1nDwkHT0lsPAoLHfT6DkKGwLZPYctHSvLIxIxvWxsnW0s+/e0kBhOMTwghjKlly5YcOHCAI0eOsHfvXsLCwso8BlnTLYQZS0uAHVPg6xBY0gdi9kKLl8GrkVLxfGuJt1RAm42bWbk8u/gAn284yZGYZGYPC8PHRZlG5uNiy5T+Iby79hiTN0bLsbKJkcqNciQ9O4/EtOzil06d3w4rhoLWAkb8Ar7NSjnSCkxroYyHtbBU+prkZUOHj02qgsPJ1pKXnqjDh+uj+PNUAo/7e6gdkhBClGv3WtO9ZnwL3B2tVY5OCHEXgwEu7oLI7yHqZ9DnQvWWygjXgG7KkmQARy+pgDYz0VdTeXbxAS7dyODdLgGMblkDgwHWjG9RUFnnYmuJfxVHpm89Q0pmLhO7N5BKOxMhyY1yIDEtmwW7LrBg90W+6BtUZOmUlc6i6CcfWgy/vAKVa8LgFVC5RtkEXZFptdB1KlhYwe7pyhKVTp+bVIJjaLPqLNh9gU9/O0mrOu5YyBu2qOAMBgMaE/p/1FTJFaySycnLlzXdQpiDzGRlhGvkD3A9GqydoPFoCB8F7v53P17Gt5qVdYfjeHv13zjY6Fg2thlNalQGlEP0fyeaP+3dECdbS7776xw3s3KZ3C8YSwtJXKlNkhtmLOZGBnO2n+PHyBiy8/R0qO9J9cq2zBkeXqjnxpzh4bja/2t9n14PWz5UyuhqPg79FoCtsxovo2LSaKDTF3ckOLKhyxSTyeZb6bS89VQ9xi85yKoDMQxo7PvgJwlRTtnY2JCYmIirq6skOO7DYDCQmJiIjY2N2qGYHSudRfEuTAghSo9er0w6ubPa4sphpUrj79WQlwleoUolbmAfsLJTO2LxiHLy9Hzy2wnm77pAYz8XZgwOxaPS/T/LNBoN73QOwNnOis83nCQ1K48Zg0OxtZL3bTVJcsMMnbhyk2//PMv6o1fQaqBXI2/Gta5FbQ8HQFm7e2fp1F1NyXIyYM0zcOJnCBupjKOysFTnxVRkGo2yJEVnrSxRyc+F7t8oS1dMQKfAKoT6OvPlH6foFuyFnZW8XYiKycfHh9jYWBISEtQOxeTZ2Njg4+Ojdhhmx9Xe6q4LE1/0DSIpI1uWpQhRlvR6uBZ1e4Srsy/0nAUR70N8FAT1U6o0vBqpHakwkqspWTy/9CAHLiYxumUN3u5Ur1gVGM89XgsnW0v+s/ZvRvywj7kjw6lkI+dVapGzFTNhMBjYe/4G3/55lm3RCdhbWTCqhR+jW9akilPhzKJWq7n3wVDqVVg2CC4fgg7/g8eeN6nlEBWORgNPvAcW1rDtE8jPgZ7fKs1HVQ9Nw3+6BNBn1m7m/HWel9vJeERRMVlaWlKjhizZE6VHq9Xg7+lYcGHCAHz4y3F2n73B/FGNCateWe0QhagYMhJuJzZAuV37HAxcqiQ6bGSKXHmy+2wiLy47SEZOPtMHN6JrkFeJtjO4qS+ONjom/HiYgd/tYeHoJrg5SGJaDeqfQYn70usN/BEVz7d/nuVwTDKu9la80dGfoU2r42RXzKzg1WOwdIAyd3vgUqjXuXSCFsWj0cDjbynVM5snKhUcfeaaRDVNWPXKdAqswnd/nWVQ02p4OEq5uRBClAYtBtw1yaBRSuH/1zOQ/rP3Muz7fcwdEU7zWm5qhyhE+ZaZDGnXCo9uBeXfNs6S2ChHDAYDc7af4/MN0fi52rFsbDPqeDo+0ja7BXvhaKPj2cUH6P/tbhaNaYq3s62RIhYPyzQW+Av0egMJqdnEJWWQkJpNdm4+P+6Pof2UP3l28QFupOfwUc9Adr79BM+3rV38xMapP+CHjmDQw6jfJbFhilpNgI6fQNRa+HEE5GVBWjwkxyi3er0qYb35VD1y8vRM2XRalf0LIUS5d6sUfm47mBoIc9vhnnGW1c81w8fFlqfn7Wdb9DW1oxSifMpKgW2fwdQgSLpwe3TrLc6+Su8NUS6kZuUyfslBPvntJB0beLLuhZaPnNi45XF/DxaPbkpCWjZ9Z+3izLU0o2xXPDyTT25kZWXRpEkTgoODadCgAe+//z4A58+fp2nTptSuXZsBAwaQk5OjcqQlV9R8+4OXkli27xLWOgu+GdSILa+1YViz6thYlqAfw97vYNkAZSLK2M1QNdj4L0IYx2PPKz1Q0uMh7mChA12uRamS4KjhZs/QZtVZsf8Sp+NTy3z/QghR7hVVCr98EJXzrrN8TBNquTswdmEkG49ffbjt6fUmkRwXwqRl3YQ/v4CpDWHbp1CjFbj5w8BltxMczr7Kv+3c1Y1VGMWp+FR6zNjJH1Hx/KdzADMGh+JgbdyFDOF+lVkx7jFy8w30/243f8emGHX74v40BhOf22YwGEhPT8fBwYHc3FxatmzJtGnT+Oqrr+jduzcDBw7k2WefJTg4mOeee+6+2woPDycyMrKMIn94CanZ9Jq5864u6QuebkJNd/vid+cv6PKcrfTY2PgOOFSB3rPByt7I0YtScfVY4QNdUD5gx0SoMlLsRnoObb7YSuMalflhZOMy378QwryZ6ufvozDqa0qOURLZ/zbyV1jQDb2dGxez7InJdaRG9RpUq1Zd+Sxw8AQH99vf27qAwXB3Q8SBy8CjvslM5BJCVVk3Yd93sGs6ZCWDf2d4/O3bF/+KmpYi/++YHb3eQGJ6TsGAhRNXUnh28UHsrHRMH9yIZjVdS3X/56+nM3TuXlIyc5kzPJzHapXu/iqS+33+mnzPDY1Gg4ODMgUkNzeX3NxcNBoNW7ZsYenSpQCMGDGCDz744IHJDVOVmZtX5Hx7G0ttyRIb/z6o6TMXvMJMokmleEg2TkWv+cxTp0Kpsr0Vzz9Rm89+P8mus9dl7bcQQhiTzkr5vP53QtvGCVq9jjYtnmqp8eRdOI/20k7y437HQl/E54HWEgYugd9ev6sKRK3kuBAmIzsV9s2GXd8o/efqPqUkNf49+USrlf9XzNytqvg7J1B93ieI7sFVebW9P54PGPNqDDXc7Fn9XHOGfb+XEfP2MXNwKO3qy99VaTOLs938/HzCwsI4c+YMzz//PLVq1cLZ2RmdTgnfx8eHuLg4laMsmeOXU7h2M9t48+2LKm1dPUYOaszNvQ50VVzzObK5H4t2X2TVgRhqeziQm6cvetSwEEKI4rFzV6oriqq2qNIQUA7YfHLyGbcoku2nE/isS3UG1rNWlp2kX1MaIabFK5/1RSXHc7PK/nUJYQqy02D/HNj5NWTegDodlKSGd5jakYl/+Xe1xcMeYxoMBrLz9KRk5pKSmYulhaYgsQHKReO3Vh/lp+ea41EGiY1bqjjZ8OMzjzFy3j6eWXyAyf2C6NVIxqWXJrNIblhYWHD48GGSk5Pp1asXJ0+efOjnzp49m9mzZwOQkJBQWiGWyC9HLvPGqiO0qOXKrKFhPLf4QEF2cc7wcFztS3Aim5tpUlf8RQkVdaDbY4ZSuqxSksrG0oKPezbASmdB75m7Cv2t+ns6SoJDCCFKSqtVEhljIu5bCm9rZcGc4eE8v+Qgb/96iTQCGNOqVeFtpcUXnRyPPw67pyu9nVz8Sv81CVGWilpKkpcJ++fCzmmQkQi128Hj74BPuNrRiiIUVW0xY3AoV29mcjExg5TMXG5m5hUkMG5m5RbcdzMzl5z8272FVoxrVmRVfG5+2fcfcrG3YsnYZoxbGMmrK46g02poVtOt2Akc8XDMIrlxi7OzM23btmX37t0kJyeTl5eHTqcjNjYWb2/vIp8zbtw4xo0bByjrc0xBvt7ApI3RfPvnWRr7ufBZn2Bc7a0K5tuX+A896ybcOGdyV/xFCfz7QBcg4gNlkkq3adBoqCphNfB2KkhsgPJBMXZhJGvGt8DdUeZ5CyFEiT1kKbyNpQWzhobxyopDfPzrCbJy83nhiTq3H1BUcrz/Yji1ESLnKSd79XtA85fAO7QUX5AQZaSoJdl9f4Ctn8HZCKj1hJLUqNZE7UjFfSSm59xVbfH80oO817U+n/x2Eguthko2OpxsLalka4mTrSVeTrYF31eyVX7mZGuJm4O18arijcDBWscPIxsz5Y9oKttbF/RalIuExmfyyY2EhAQsLS1xdnYmMzOTTZs28dZbb9G2bVtWrVrFwIEDWbBgAT169FA71IeSkpnLy8sPsS06gSFNfXm/WwOsdMqVmUc6OcxJh6X9lTf4fgtg5YjCpa3S5dn8/PtAt+tXypWHdc8ro8ra/geK25PlEeXm6YvMhF9JyWTlgRgCvZxo4FUJVwdJdAghRGmx0mn5emAjrHVHmfzHKTJz83m9g7/Sp+teVSBewRA6FPZ+qyQ5jq+B6i2hxUtQu700TBTmq6gl2atGKRWvbd4A32bqxiceSlZufpHHmAFVHDk2sSP2VhYP3YtQrzcwZ3h4oSqQElfFG4mNpQWjW9Wk96y7LxKuevYxqjjZqhZbeWLyyY0rV64wYsQI8vPz0ev19O/fn65du1K/fn0GDhzIu+++S6NGjRg9erTaoT7Q6fhUxi06QGxSBv/rFciQptWNs+HcTFg2EGL2KpnqqiEPLG0VZsjGCYashF8nwF+TlARHjxmgK7tEgpXOoshMeGJaDl9siC64r6qTDQ28nAj0rlRwW6WSTaEPpZKuqxRCCAE6Cy1f9gvGxlLLjK1nycrV826XgNsJjqKqQCp5QfsPodXrcHAh7JmpXBhxrwfNX4SG/cr0M0WIYjMYlEmA8cfh2nHltvGYopdku9QA52rqxCmKJeZGBmcT0oo8xrS10hV7XKtWq8Hf0/HRq+KNLDe/6IuEFxMz6DZ9JzXd7Knp7kAtd3tq/PN9NRdbdBZFn8fJsfTdTD65ERQUxKFDh+66v2bNmuzbt0+FiEpmU1Q8r644jI2lBUvHNqOxX2XjbDgvB34cDue3Q69voUEv5X5pHlo+WVhCt6+VD+zNEyElTumMb2ekv6cHcLW3KjIT7u/pyJH/duD4lRSiLt/kWFwKxy7fZPPJeG4Nm3a1t6K+VyUCvZ1oXssVFzsrnv1XnxkpyxNCiIen1Wr4pFdDrHUWfL/jPFm5+XzUI/DB76M2laD5C9D0GTj2E+z6WqkK3PyRcl/4KLB1LpPXICqwB41czUmHaych/tg/yYwo5fvMpNuPqeQNjYbJkmwzFnX5JiPn7aOOhz2zhoTy3JKDRqm20Go1Jrdk+l4XCe2sLWhT153z19PZcOwKSRm5BT/XaTX4utpR001JetR0t6eGmwO1PeyJv5ld5DF5RT6W1hgMt049yj+jzqR/SHq9gelbz/DVplME+Tjx3bAwqhqr7Cg/T1l+cnI9dJ0K4U8bZ7vCPBxbDWueAycfpaLDtVaZ7LY4WeKMnDxOXEnl+OUUjsWlcPzyTU7FpzJ9cCgfrY+6681dencIUT6p8flb2kzpNRkMBj7foPTy6hPqwxd9g7AozsGtwQBntygjMs9tBSsHCB0BzZ5TTh7vdwIqREkU1Sej33y48jec2aT87MZ54J/TFEt78KyvLLnyDLz9vV3lord1a9qQ/K2atF1nr/PMwgPYW+tYMKoJdTwcynUlQlFNU4tKSCSl53DuehpnE9I5fz2dcwlpnEtI52JiRkHj1O+GhVXYY+n7ff6afOWGOUvLzuP1H4+w4fhVejfy5pPeDbGxNFIjG30+rH1WSWw89ZkkNiqiwD7KQeeyQfB9e+WD3Ldpqe+2OJlwOysdYdVdCKvuUnBfdl4+l5MziyzLy8nLN2qsQghREWg0Gt56yh9bSwumRJyiSiVrRjT3Izf/IUd2azRQ+0nl68pRJcmx91uI3a8sY1kzTk4ahXEV1Sdj5Ujo+AkknFQSGEEDwbOBkshw9rv339xDThsSpmX90ctMWHGE6q52LBjVBC9n5eJveT4xf9jlMi72VoTZVyaseuHK7Hy9gbikTM5eT6Oqk40cSxdBkhul5GJiOmMXRnLmWhrvdglgdMsaD90E54H0evjlJfh7JTz5vnJlRVRMvs2UD/Ml/WBBN2VpUmBvtaO6L2udBQ7WlibVxVoIIcydRqPh5XZ1qFbZBs9KtgVN64pdqlw1CPrMgSf/C2lXlcaMd56ALh8Ew9aAY1Wwsi/dFyXKp4RopV9cUX0yqgbDiweKv82HnDYkTMO8nef5cH0U4dVdmDu8MU52lmqHVGYeZbmMxT9LVHxd7UhIzZZj6SJISrMUbD+dQPfpO7mWms3CUU0Z06qm8RIbBgP8/iYcWgxt3oJWE4yzXWG+XGspCQ7vUFj1NOyYAia+2uxW7w4fFyVL7+Niy9QBIap2sRZCiPKgVR0P3lp99K5u/InpOcXbkHM1cKhS9Alo6lX4tBrMagk/vwQHFsDVY8pyWSHuJfYALB8CM5rCzTilEuhOzr7S0LacMxgMfPb7SSb+EkWH+p4sGt20QiU2jKmoY+lpAxtV+GNpqdwwIoPBwNzt5/n09xPU9XRk9rBwfF3tjLkD2PQe7J+jdDV//B3jbVuYN7vKMGyt0hAu4gNlnWqXL5UGpCbo32V58anZfLw+iq/6h+DnJlcChRCipHLyih6nWKJSZZ1V0Y0a7d2h1WsQdwCi1sHBBcrPLO2UiW3eoeAdpnw5+94eW/6gBpKi/DEY4Nw22PEVnP9LmfzW+g3wba4scfp3nww7d7UjFqUkN1/PW6uP8tPBOIY09eXDHoHF6w0kCvn3sfSVlCw++TWKT/sEUdfTUe3wVCPJDSPJys3nnZ/+Zs2hODo3rMKkvsHYF3Ns0QNt+1RZB9t4LLT/6PbBghAAljbQew64+MH2yZASA/0WKF3xTdCdZXmWFlqirtzk682n+WpAiLqBCSGEGbtXN/4SlSrbuRd9AupaB574j/IYgwFunIO4g0qyI+4A7JsD+dP/2YabkuSo1xWqBCqN0KV/R/mnz1f6wm3/Cq4cVpYxdfgYwkaC9T8nXjZO0iejgkjPzuO5JQf561QCr7WvywtP1DZeVXsFduextI2lBWcS0nlv7TGWj2tWYX+/ktx4BLemRmTk5HHpRgYXrqfzeoe6PN+2FP6H3f4V/Pk5NBoKnb6QxIYomlYLT76nJDjWvwI/PAVDflQmqpgwj0o2DH/Mj7nbzzG+bW1qezioHZIQQpilokZ2T+obhEZTguWKD9OoUaNRlke61oKgfsp9eTnK9Iq4yNtJDzuX24kNKNy/w6EKWMv7frmQlwNHV8DOaZB4GirXUkbYBw+8e8mJ9MmoEK6nZTNq/n6OX77JZ70bMrCJ74OfJIrN1cGaN5/y5z9rjvHzkcv0CPFWOyRVSHKjhIoa5TNzcCiB3k7GT2zs+RY2T4TAvsoHhGS1xYOEDlMSGj8OhzlPwvB1yoGlCV8deaZ1TRbvucjUiFNMHxyqdjhCCGGW/l2qnG+AN1ceISdfz/Jxj2GlK+Z7f0lOQHVW4BWifDX+576ki/fu3zG9Mbj5K8tZvBopt56B0n/BnJbxZKcpy5N2TYfUy1AlSBntGtAdtBW7wWFFdjExneE/7CP+Zhazh4XxZIAks0rTwMa+rNgfw8e/nqBtPQ8q2Zjm8vTSZKLvkKYvMT2nILEBynrW8UsPFr9h14NEzoMNbynlnL2+lQ8I8fBqtYVRG5WDxLR4mNsOpgYqt9eilIMmE+LqYM3TLfxYf/QKJ67cVDscIYQwW7dKlb1d7PCtbMfw5n4cvJTMh+uPqxeUpU3RDSTt3aH1m0oD01Mb4bfXYc4T8Ik3zH4c1k+Ag4sg/riy1OEWvV75bEuOUW5N7DPtken1yme1KX523/m7T4mDyPlKjBv/T6ngGfoTPPMXNOglx60V2N+xKfSZtYuUzFyWjm0miY0yYKHV8HHPQK6nZTNl0ym1w1GFVG6UkFEbdt3LkeWw/lWo0wH6zjPZ5pDChHnWh86TYF6nu0uBx0SYXDno2FY1WbjrIlM2nWL28HC1wxFCiHKhc8OqPNOmJt/9eY4gH2f6h1cr+yDu17+j7T8N0g0GpV9U3EG4fFC5PfojRH6v/NzSThkVGtAdfJvCypHlt39H6uXbvyswnc/uW0mXO/87dp8OIcOgfneo1vjB2xDl3vbTCTy76ADOdlYsH9VElhuXoSAfZwY38WXBrgv0C6tGfS/T7L1XWiS5UUJGbdhVlONrYO1zUKMV9F+olCMKURIGQ9GlwHlGrjIyAmc7K8a0qsmUiFP8HZtCQx8ntUMSQohy4Y0O/hyLS+HdtceoV8WRIB/nsg3gYft3OPsqXw16Kvfp9ZB45nay4/JBcKl+O7EBt0/8R22ESl5l+7qMJTkGLu5Uvi7shO5f32MZTzxcOwHVminVMGUl4wZc2g0OHrBqVOHf/c8vqJ90ESZjzaFY3lh5lNoeDiwY1QTPSmX4dyoAeKOjP78fu8p/1x3jx2ceQ1uBptJIcqOEimrYNWd4uHFmC0f/DqvHgE8TGLQcLG0ffZui4rrXKD+DCZS2FmFUSz/m7TrPV5uimfd0E7XDEUKIckFnoeWbQaF0+2YHzy46wC8vtsTVoYx7WpSkf4dWC+51la/ggcp9yZeKPvG/cR5+HAG1n4RaTyrLMk1xWcStCTO3EhkXd0HKP6/HxkkZk2rlWPRnd/IlWDEEdLZQvbmyBLVmW/BsYNxm8zevKPFd2q3Edy1KuX/kb2ZzwUSUjVsDFnLy8knKyGXhrouE+7kwe3h4hez5YAqc7ax4+6l6vLn6KKsPxtJPjWo9lUhyo4T+3bDLSmeBq71VyTNjt5pGZaUoJ50NB0Cnz8DK3riBi4qnqFLgHjNg7QvQbBwEdFM7wkIcbSwZ17omX2yI5sDFJMKqu6gdkhBClAuV7a34dmgYfb7dxUvLD7Hg6SboLMxwGYfOuugTf0tb0OfBts9g26dg46yc/Nd6Ukl4lEVVR1FNQAGuR8OFHUqi4OIuSLuq3G/npiQpmr+g3HrUVxIyen3Ry3hcasDgH+HsFji7Ff54V9mOgyfUfFxJdNRqC45VHhzXraoZgwGSLtyO7eJOSDqv/MzKAao1hcA+UL0FVK5R9O9eKowrpKIGLEwZEEJD70rYWMppppr6hvmwfP8lPvv9JB3qV8HJrmIkmjQGg6EEs8HMU3h4OJGRkWqHcbei1i8OWKJ0Ci8va0eFuv59UGNA+XuLOwAtX4Un3jOpq1vp2Xm0/mIr9ao6smRMM7XDEUI8IpP9/H0E5vyaVkbG8MaqozzTuibvdA5QO5ziK+q46c6eG+mJcG4rnNmsJAFuJRLcA/6p6nhCOVG/tazDWFNJioqr12z48ws4t0V5jKMX+LVQEhnVW4JbnXtXXDxMXClxyms9u1W5zUhU7veo/0+i4wllXzfOFY6r/2IlgXHiZyWhkXpFeZ5t5X9i++fLsyFY6ArHdL/fvahQElKz6TVz513L9NeMb4G7YwWfdmQCjl9Oods3OxjStDof9QxUOxyjud/nryQ3TMGtSRb/zoLL+kVRmvKy4fe34MA85WpPnx/A3lXtqArM3X6Oj389wfJxzWhW03TiEkIUn8l+/j4Cc39N7679m8V7LjFjcChdgqqqHU7xPWxCwmBQJq2c3awkOy7thvwcZVmHXwsIGghudeHHoYVP1p2rQ3YKZN2E7JtKZW3Wzdv3ZaX8c/8dP2/zFqx/5e7jud5zlL4h1VuAi59xl4/8+3cS/7eS6Di7BS7tgfxsGLgUNrx9d1wdP4Hf3rgjmdFCGcn7oCSFOY2oFaUqLimDFp9vvev+nW+1xdvFToWIxL998PNxFuy+wM/Ptyw3vezu9/kr9UKmIC9b1i+Ksqezhm5TwSdcGbU3u43SvNY7VO3IABjarDpztp/jqz9OseKZZmhK62BQCCEqoP92bUDU5Zu8seoIdTwdqOvpqHZIxfOw/Ts0GqgSqHy1eBly0pU+F2c3w5kIpXrjVmIDbjcn7fgJrBh6n/1bgk0lpUeGdSXle1uXoo/nKnmDbxlUIWq1yjSZqsHQ8hXIyYBLu8Deo+i4PANhwoniJ1tK0jtFlEulPmBBPLIJHeqy/ugV3l13jDXPNS/3zUUlzWoKUq8WPftd1i+KstBoKIzeCGjgh6fg4CK1IwLAxtKC59vWZt+FG+w4c13tcIQQZm7lypU0aNAArVZ71xWfTz/9lNq1a+Pv78/GjRtVirBsWem0zBoahp2VjmcWHeBmVq7aIZUNK3uo2wE6fQ4vHlBO8Is68a9cE7pNg77zYOhPMGYzPL8fXjsF/7kK7yXAm+fgpUPwzJ8w4hdw8jat4zkrO6jdDhw9i47Lyq70qkhEheBqb8WU/iH4uCjDD4w6YEEYRSUbS/7TpR5HYpJZERmjdjilTpIbajvxC2x8B/rMvf3Bc6sk8lYTKiFKm1cjGLdNKUv9+QX45WWlokhlAxpXw8vJhsl/nKICraATQpSCwMBAfvrpJ1q3bl3o/qioKJYvX87x48fZsGED48ePJz8/X6Uoy5ZnJRtmDQ0l5kYGE1YcRq+vgO+zVnZFn/jbu0HYSAjsrfTp8AlXJrY4eiqNS4tKCtxq4G1qx3OmGpcwe1duZvHJbyeYPrgRO99qy5rxLfD3dCz31QHmpmeIN01qVObzDSe5kV6+VwZIckNNSRdh3fOgz4eqIUqPjVeOKbfSmEmUNXtXGLoaWk6AA/NhXidIiVU1JGudBS89WYcjMclsOXlN1ViEEOYtICAAf3//u+5ft24dAwcOxNramho1alC7dm327dunQoTqaOxXmfe61ifixDWmbz2jdjhlz5gn/lqtcvxmasdzphqXMHtL9lzkSGwybg7WeLvY4e5oLYkNE6TRaPioRyCpWXl8seGk2uGUKnlXU0t+LqwerTS66vuD0v/AwROcqym38oEj1KC1gHbvw4DFkHAKvmsD5/5UNaQ+YT74Vrbjq01SvSGEML64uDiqVatW8G8fHx/i4uJUjKjsDX+sOr0beTMl4hRbK1oi2dgn/rf6UZja8ZypxiXMVnZePiv2x/BEPU98pHmoyfOv4sioFn4s3x/DwUtJaodTauSdTS1bPoLY/cp6zso11Y5GiMICusG4rUpZ7qKesHOakohTgaWFlpefrMPxyzfZePyqKjEIIcxDu3btCAwMvOtr3bp1Rtn+7NmzCQ8PJzw8nISEBKNs0xRoNBr+16shAVUq8fLyQ1y4nq52SGVLTvyFKLbf/75KYnoOwx+rrnYo4iG93K4unpWseW/tMfLL6TJEk3/3jomJoW3bttSvX58GDRowbdo0AA4fPkyzZs0ICQkhPDzcvEpIT29SThbDRylrOYUwRW51lAZqAd1h039h5QjITlUllJ6NvKnpbs9Xm06V2zdjIcSji4iI4NixY3d99ejR457P8fb2JibmdpO12NhYvL29i3zsuHHjiIyMJDIyEnf38tWvwNbKgu+GhaHVanh28QEycvLUDkkIYcIW7blIDTd7WtZ2UzsU8ZAcrHW826U+xy/fZMnei2qHUypMPrmh0+n48ssviYqKYs+ePcyYMYOoqCjefPNN3n//fQ4fPsyHH37Im2++qXaoD+fmZVjzjNKdu+MnakcjxP1ZO0C/+dDhYzixHuY8CTcuQFo8JMcot3p9qYdhodXwaru6nIpPY/3Ry6W+PyFExdG9e3eWL19OdnY258+f5/Tp0zRp0kTtsFRRrbIdXw9sRHR8Km+v/luWAgohinT8cgoHLiYxpKmv9NgwM12DqtKythuTNkaTkKr+8ABjM/nkRtWqVQkNDQXA0dGRgIAA4uLi0Gg03Lx5E4CUlBS8vLzUDPPh5OfB6jGQm6mMFrO0VTsiIR5Mo4HmL8LwteDko4zIm9sOpgYqt9eiyiTB0aVhVepVcWRaxGny8kt/f0KI8mXNmjX4+Piwe/duunTpQseOHQFo0KAB/fv3p379+jz11FPMmDEDCwsLlaNVT+u67rzewZ+fj1zm+x3n1Q5HCGGCFu2+iI2lln5h1R78YGFSNBoNH3RvQFZuPp/9Xv6ai2oMZpSWv3DhAq1bt+bYsWPExcXRsWNHDAYDer2eXbt2Ub363Wu+Zs+ezezZswFISEjg4kUVS3C2fgJ/fg49v4WQQerFIURJJcfA/M5KguMWZ1+lAZuDZ6nvfsOxqzy7+ACT+wXTN8yn1PcnhDCO8PBwIiMj1Q7DqMrja7rFYDDw7OIDRJy4xuLRTXmslqvaIQkhTERKZi5NP4mgR7A3n/cNUjscUUKfbzjJrG1nWfnsYzT2q6x2OMVyv89fk6/cuCUtLY0+ffowdepUKlWqxKxZs5gyZQoxMTFMmTKF0aNHF/k8k1kfe+5P+PMLCB4siQ1h3u5MbNz6d17ZzMzu2MCTQO9KTNt8ilyp3hBCiFKh0WiY3C8YP1c7vt12hrikDOKSMkhIzUYvfY+EqNBWHYglK1fPMGkkatZefKI23s62vLf2WLmqiDaL5EZubi59+vRhyJAh9O6tNOBcsGBBwff9+vUz7YaiaQnw01ilQWPnSWpHI0TJ6ayUSo07Ofsq95cBjUbDa+39ibmRycrI2DLZpxBCVESONpbMe7oxzzxeiwGz99Di8630mrmT6PhUSXAIUUHp9QYW77lIqK8zgd5OaocjHoGdlY73utbn5NVU5u+6oHY4RmPyyQ2DwcDo0aMJCAhgwoQJBfd7eXnx559/ArBlyxbq1KmjVoj3p9fDmnGQlaL02bB2UDsiIUrOzh0GLrud4HD2hZ6zQFd2880f93enka8z07ecJjsvv8z2K4QQFY2tpY43Vx0lNikTgNikTMYujCQxvWyq9YQQpmXn2eucv54uVRvlRMcGnrSp687UiNPE38xSOxyjMPnkxs6dO1m0aBFbtmwhJCSEkJAQfvvtN+bMmcNrr71GcHAw//d//1fQV8Pk7JwKZ7fAU59BlUC1oxHi0Wi14FFf6bHxyjEY+hNETIRVTysNc8vAreqNyylZLN8X8+AnCCGEKJGcvPyCxMYtsUmZ5EhiWYgKaeHui7jaW9G5YVW1QxFGoNFomNi9ATn5ev736wm1wzEKndoBPEjLli3vOYrswIEDZRxNMV3aA1s+hga9IWyk2tEIYRxabeHmoSGDYP2rsOk9eOrTMgmhRW1XmtSozPStZ+gfXg1bq4o72UAIIUqLlc4CHxfbQgkOHxdb8mVVihAVTlxyJptPxPNsm1pY6+S4q7zwc7Pn2Ta12H4qgXMJaVjrtFjpLHC1tzLLMb8mX7lhtjJuwKrR4FwNuk1TxmkKUR6Fj4Kmz8GemRA5r0x2qVRv1CUhNZvFe1ScgCSEEOWYq70Vc4aH4+OijK73cbFlUt8g3l59hF1nr6scnRCiLC3dqxxvDW7q+4BHCnMzvk1N3nzKn+E/7DP7/kqS3CgNBgOsex7S4pU+GzaV1I5IiNLV4WOo3Q5+e12ZDFQGmtZ0pVUdN2b9eZb07LJZEiOEEBWJVqvB39ORNeNbsPOttqwZ34Ka7g5cT8thxA/7WHsoTu0QhRBlIDsvn+X7Yniinic+LmXXZ02UjdTsfN4oJ/2VJLlRGvZ+C9G/QYePwDtU7WiEKH0WOuj7A7jWhh+Hw/UzZbLbCe3rciM9p1x1eRZCCFOi1Wpwd7TG28UOd0drPCvZsPLZ5oRVd+GVFYeZsfXMPZcPCyHKhw3HrpKYniONRMup8tRfSZIbxhZ3EP54D/w7Q9Nn1Y5GiLJj4wSDloPWApYNgMykUt9lI18Xnqjnwey/znEzK7fU9yeEEAKcbC1ZMKoJPUO8mLQxmv9b8zd5+Xq1wxJClJKFuy/i52pHq9puaociSsGt/kp38nGxxcoMe6tIcsOYslKUqREOntBjhvTZEBVP5RowYDEkXYQfR0B+6SccJrSvS0pmLt9vP1/q+xJCCKGw1lkwZUAIL7StzbJ9MYxZGClLBIUoh45fTuHAxSSGNqtulg0mxYMV1V9p1tAwXO2tVI6s+Mo0uXH16lV+/vlnfvnlF65evVqWuy59BgP88jIkxyjl+XaV1Y5ICHVUbw7dv4bzf8Lvbyr/b5SiQG8nnm1dk4belYi5kUFCarZZNkASQhRWro8ZygmNRsPrHf35pFdDtp++zoDZu7l2M0vtsIQQRrR4z0VsLLX0C6umdiiilNzZX2n7m22Z2L0BK/ZdMsvr9GWW3Jg7dy5NmjThp59+YtWqVTRr1owffvihrHZf+g7Mg+Nr4Il3wbep2tEIoa6QwdDiFYj8AfZ+V6q70usNdA324oNfomj1hXl3eBZCKMr9MUM5M7ipL3OHh3MuIZ1eM3dxOj5V7ZCEEEaQkpnL2kOX6RHsjZOdpdrhiFJ0q79Stcp2xCZlsnjvJSJOXFM7rGLTGMqoC5S/vz+7du3C1dUVgMTERJo3b050dHRZ7B6A8PBwIiMjjbdBvR4yEiA7DRJOKlMinvoMtLLaRwj0elgxFE79DoNXQp12pbKbhNRses3cWagRko+LLWvGt8Dd0bpU9imEKJ7ifv6awjHDgxj9mKIcOBaXwtPz95OVm8/sYeE8VstV7ZCEEI/ghx3n+XB9FOtfbEmgt5Pa4Ygykpuv56mpf6E3wMZXWmOlM61z2/t9/pZZpK6urjg6Ohb829HRseCgxSzp9XAtCua2g29CYcPb0Gio2lEJYTq0Wug9GzwaKL1orp0sld2Upw7PQghFuTtmqCACvZ1YM745npVsGPHDPtYdllGxQpgrvd7A4j0XaeTrLImNCsbSQst/ugRw/no6i/dcVDucYimz5Ebt2rVp2rQpH3zwARMnTqRZs2bUrVuXr776iq+++qqswjCejARYPgiSLyn/Tr4EK4Yo9wshFNYOMHg56GxgaX9Iv270XZSnDs9CCEW5O2aoQHxc7Fj9bHMa+Trz8vLDzNwmo2KFMEc7z17n3PV0hsv41wqprb8HLWu7MW3zaZIzctQO56GVWXKjVq1a9OzZE80/nUl69OhBjRo1SE1NJTXVDNdm5uXcTmzcknxJuV8IcZuTDwxaBqlXlWUqedlG3XxRHZ6nDggxyw7PQghFuTtmqGCc7CxZOLoJ3YO9+GJDNP9Ze0xGxQphZhbtvkhleys6N6yqdihCBRqNhne7BpCalcvXm8+oHc5D05XVjt5///2y2lXZ0FmBs2/hBIezr3K/EKIwn3DoORNWj4b1rxp1VPKdHZ5z8vK5lprNh79EMbl/MLXcHYyyDyFE2Sp3xwwVkLXOgqkDQvB2sWXWtrNcSc5k+qBQMnLzycnLx0pngau9lYyWFMIExSVnEnEinmfa1MJaKmErrHpVKjGgcTUW7r7A0Ga+1DSD4+oyq9yIjIykV69ehIaGEhQUVPBltuzcYeAyJaEByu3AZcr9Qoi7NewLbd6Gw0tg5zSjbvpWh2dvFzuqVbYjOj6Vr/44ZdR9CFGe6fUGElKziUsyjXHK5e6YoYLSajW89VQ9/tcrkOSMXP6+nEKvmTtp8blMthLClC3dexEDMKSpr9qhCJW92r4u1jotn/5eOr3zjK3MKjeGDBnCpEmTaNiwIdryME1EqwWP+jAmQlmKorNSEhvl4bUJUVravAXXoyHiA3CrA/W6GH0Xbg7WjGlZg6+3nOG5uBRpgiXEA+j1BqLjUxm7MJLYpEx8XGyZMzwcf09H1a6ql7tjhgpuSNPqNK1RmZHz9hc0gI5NymTswkiZbCWEicnOy2fF/hierOeBj4ud2uEIlXk42jC+bW0mbYxm19nrNK/lpnZI91VmRwzu7u50796dGjVqUL169YIvs6bVgoMnOFdTbuUATIj702qh5yzwagS7Z8KN85AcA2nxygQiIxnTuibOdpZM2mg6YyOFMFWJ6TkFiQ24fdKZmK5eD6lyecxQwdlaWshkKyHMwIZjV7melsOwx/zUDkWYiNEta+DtbMvH60+Qb+LVdmVWuTFx4kTGjBnDk08+ibX17Qx97969yyoEIYQpsLSFIT8qo2EXdlf61txa1uVR3yhJwko2ljzXphaf/n6SvecSaVpTRkgKcS+mOE5ZjhnKn1uTre78W5PJVkKYnkW7L+Lnaker2qZ9hV6UHRtLC97qVI+Xlh1i9cFY+odXUzukeyqz5Ma8efM4efIkubm5BSWmGo1GDlSEqIgMelg3vvAo5eWDlGVeDp5G2cXwx/z4fsd5Jm2MZuWzjxVMXRBCFJaZm29yJ51yzFD+3Jpsdefyp6/6B+NsW2aHokKIB4i6fJPIi0m82yVAmv2KQroFVWXezvNM3hhNl4ZVsbc2zffuMotq//79REdLibgQgjIZpWxrZcFLT9bh3bXH2BadQNt6HkbbthDlxdmENP679hiT+wXz+sojhXpuqDlOWY4Zyp9/T7ZKyczjP2v+JsCrEv/rGSgJaCFMwKI9F7Cx1NIvzHSvzAt1aDQa3u1Snz6zdvHdn2eZ0MFf7ZCKVGZNIpo3b05UVFRZ7U4IYcpujVK+k7MvaI2bb+0fXg3fynZ8sTFaOvIL8S83s3IZuzCS6Pg0arjZs2Z8C3a+1ZY141uo2kwU5JihvLpzslV9r0o0renK0r2XmLntrNqhCVHhpWTmsvbQZXoEe+NkZ6l2OMIEhVV3oVuwF7O3n+NycuaDn6CCMktu7Nmzh5CQEPz9/QkKCqJhw4Yy1k2IiqqoUcrdp8P2ryDXeG+WVjotE9rX5cSVm/z69xWjbVcIc5evN/DK8sNcSsxg5pBQPCvZFJx0ujtaq16OLMcMFcObHf3pEeLFpI3RrD0Up3Y4QlRoqw/Ekpmbz7DHpHmzuLc3O/qjN8BkE23aX2bLUjZs2FCi58XExDB8+HDi4+PRaDSMGzeOl19+GYBvvvmGGTNmYGFhQZcuXfjiiy+MGbIQorQUNUo57hDsnwOJp2DQcqXxqBF0C/Zi1razfLXpFJ0Cq6CzkKlGQny1KZotJ6/xUY8GJtlwt6THDMK8aLUavugbRPzNLN5YdQQPR2uaSxNDIcqcXm9g8Z6LNPJ1JtDbSe1whAmrVtmO0S1rMGvbWUY09yO4mrPaIRVSZkf51atXJyYmhi1btlC9enXs7OzQP8ToR51Ox5dffklUVBR79uxhxowZREVFsXXrVtatW8eRI0c4fvw4r7/+ehm8CiGE0fx7lLL/U9BzJpz7E5YNNFoFh4VWw+sd/Tl/PZ1VB2KNsk0hzNmvR68wY+tZBjWpxtBmpnmFrqTHDML8WOss+G5YODXc7Hlm0QFOXr2pdkhCVDi7ziZy7no6w6VqQzyE8Y/Xws3Bio9/jcJgMK1l32WW3Jg4cSKff/45n376KQC5ubkMHTr0gc+rWrUqoaGhADg6OhIQEEBcXByzZs3i7bffLhgR5+EhzQKFMHshg+9IcAwyWoKjXYAHIdWcmbb5NFm56o23FEJtUZdv8vrKI4RVd2Fid9Nt4ljSYwZhnpxsLZn/dBPsrC14et5+rqSY5lpuIcqrhbsvUNneik6BVdUORZgBRxtLJrT3Z/+FJDYcu6p2OIWUWXJjzZo1/Pzzz9jb2wPg5eVFampqsbZx4cIFDh06RNOmTTl16hTbt2+nadOmtGnThv3795dG2EKIshYyGHrMgHPbjJbg0Gg0vNnRnyspWSzec/HRYxTCDN1Iz2HcokicbC2ZNTQUK53pLtEyxjGDMC9ezrbMG9mE1Kw8np63n5tZuWqHJESFcDk5k4gT8QxoXA0bS/VGgAvz0j/cB39PRz79/STZeaZz4bDMjmysrKzQaDQFV4nS09OL9fy0tDT69OnD1KlTqVSpEnl5edy4cYM9e/YwadIk+vfvX2RZzOzZswkPDyc8PJyEhASjvBYhRClrNOR2gmP5YKMkOJrXdqNlbTdmbjtLWnbeo8cohBnJzdfz/JKDXEvN5rthYXg42qgd0n096jGDME/1vSoxa2goZ66l8dziA+TkyVIkIUrb0r2XMACDm/g+8LFC3KKz0PJu1wAu3chgwa4LaodToMySG/379+eZZ54hOTmZOXPm0K5dO8aOHftQz83NzaVPnz4MGTKE3r17A+Dj40Pv3r3RaDQ0adIErVbL9evX73ruuHHjiIyMJDIyEnd3d6O+JiFEKWo0BHpMh7NbjZbgeL2jPzfSc/h++3kjBCiE+fjfryfYfS6RT3s1NLnmX0V5lGMGYd5a1XHnsz5B7DyTyNurj5rcem4hypPsvHyW77/Ek/U8qFbZTu1whJlpVcedtv7ufLP5DIlp2WqHA5RhciMhIYG+ffvSp08foqOj+fDDD4mNfXBzP4PBwOjRowkICGDChAkF9/fs2ZOtW7cCcOrUKXJycnBzkw7bQpQrjYYaNcERUs2Zjg08mbP9HEnpOUYKUgjT9mNkDPN3XWB0yxr0CfNRO5yHUtJjBlE+9A3z4bX2dfnpUBxf/nFK7XCEKHf0egMJqdlcSszgf70a8tzjtdQOSZip/3QJICM3n6kRp9UOBSjD5MamTZto3749kyZNYvLkybRv357ff//9gc/buXMnixYtYsuWLYSEhBASEsJvv/3GqFGjOHfuHIGBgQwcOJAFCxaYbGM0IcQjKJTgGAK5WY+0udc6+JOek8esP88aKUAhTNehS0m8u+YYLWu78U6nemqH89BKesxwPytXrqRBgwZotVoiIyML7SssLIyGDRsSFhbGli1bHjV8YQQvPFGbgY2rMX3rGZbuvaR2OEKUG3q9gej4VHrN3En7KX/x0foo7Kx06PVSJSWKr7aHI0Oa+rJ03yVOx6vfG0tX2juYNWsWM2fO5Ny5cwQFBRXcn5qaSosWLR74/JYtW96zJHHx4sVGi1MIYcIaDQWDAX5+UangGLgULEvWM6CupyO9GnmzYNcFRrWoQRUn0+49IERJxd/M4plFB/B0suabQY3QWZhuA9FbHvWY4X4CAwP56aefeOaZZwrd7+bmxi+//IKXlxfHjh2jY8eOxMXFPdK+xKPTaDR83DOQqzezeHft31RxsuaJep5qhyWE2UtMz2Hswkhik5Rq2NikTMYujGTN+Ba4O1qrHJ0wR6+0q8uaQ3F88tsJ5j3dRNVYSj25MXjwYDp16sQ777zDZ599VnC/o6MjlStXLu3dCyHKi9Bhyq0REhyvtqvLL0cu8/WW03zSq6ERgxTCNGTn5fPs4gOkZeexcHRzXOyt1A7poZTmMUNAQECR9zdq1Kjg+wYNGpCZmUl2dnbBqHmhHp2FlhmDQxkwezfPLznEimeaEeTjrHZYQpi1nLz8gsTGLbFJmeSY0MQLYV4q21vx0hN1+N9vJ/jrVAKt66rX57LUL+M4OTnh5+fHsmXLqF69esGXJDaEEMUWOgy6fwNnt/zTg6NkS1SqVbZjUBNfftwfw4XrMoVBlC8Gg4H31h7j0KVkvuwXTL0qldQO6aGpfcywevVqQkNDJbFhQuytdfwwsjGuDlaMmr+fS4kZaockhFmz0lng42Jb6D4fF1usdDIGVpTc8ObV8a1sx8e/RpGXr96kK9OvURVCiDsZKcHxQtva6Cw0TImQZnWifFm4+yI/Rsby0hO16dSwqtrhlKl27doRGBh419e6dese+Nzjx4/z1ltv8d13393zMTJeXh0ejjbMf7oJufkGRs7bJw2hhXgErvZWfNU/uCDB4eNiy5zh4biaSYWfME3WOgve6VSPU/Fp/BipXgPwUl+WIoQQRlewROUFWDEEBiwp9hIVj0o2PN2iBt/+eZZn29QioKr5XN0W4l52nb3Oh+ujaBfgySvt6qodTpmLiIgo0fNiY2Pp1asXCxcupFate08NGDduHOPGjQMgPDy8RPsSJVPbw4G5I8IZMncvYxZGsmRMU2ws5UqzEMW162wiX/4RzXdDw3C2s8RKZ4GrvRVarQxmEI/mqcAqNPGrzFeboukWXBVHG8syj0EqN4QQ5ulWBceZCIj4AFKvQnIMpMWD/uHK4Z5tXQsHax1f/hFdurEKUQZibmTw/JKD1HCzZ8qAYDlQfUjJycl06dKFzz777JGblorS1divMlP6h3DwUhLTIk5xLTWLuKQMElKzH2nSw62xmMbYlhCmzGAw8PmGk1xLzaa2pwPeLna4O1rL54UwCo1Gw7tdA6jmYsfZhDRV3lOlckMIYb5Ch4OdK1g5wPftIfkSOPvCwGXgUR+098/fOtlZ8mybWkzaGM2Bi0mEVXcpo8CFMK6MnDzGLTpAnt7A7GFhqlwtMXVr1qzhxRdfJCEhgS5duhASEsLGjRuZPn06Z86c4cMPP+TDDz8E4I8//sDDw0PliEVRugRVJS8/GDdHG3rP3EVsUqZSVj8snJru9mg0xTtJMxgMnEtIZ+yiyNvbGh6Ov6ejnPCJcuf3Y1f5Oy6Fyf2CsZYeG6IUBHo58Z8uAbyw9JAq76kaw73mrJZD4eHhhWbbCyHKgbR4mNtOSWzc4uwLYyLA4cFjA9Oz82gzaSu1PRxYNrZZsQ+MhVCLXm8gMT2HnLx84pIz+fS3k7zcrg6P+5veSXl5/Pwtj6/JXCSkZtNr5s5CEx98XGx5r2t9nll0oFjb+m5YGB+tj7prWzIWU5Q3efl6Okz5Cwuthg2vtMZCkneiFNzr/dmY76n3+/yVyg0hhHnLyymc2ADl33kP13DO3lrHC21r88EvUew4c51WddQbXyXEw9LrDUTHpzJ24e2rzV8PakSIjMkUFcC9Rln6VrbjjY7+xdqWb2U7GYspKoRVB2I5dz2d2cPCJLEhSo3ao4YluSGEMG86K6VS49+VGxYP3/V7UFNf5mw/z6SN0bSs7SbVG8LkJabnFCQ2QDlweGnZIbnaLCqEW6Ms/31l0M3Bmufb1i7WthJSs4vclpVO2tKJ8iMrN5+pEadp5OtM+/oPrmoVoqTu9f5cVqOG5Z1bCGHe7NyVHhvOvsq/nX2h+3Q4tgoectWdtc6CV9rV4WhsChuPXy3FYIUwDrWvjAihJld7K+YMDzfKKMuitvV5nyB+OhgrjUVFubFw9wWu3szirafqyQUcUaqM+f5cElK5IYQwb1qt0jx0TISyFEVnBUdXwR//B9lp8PhbD7WZXo28+fbPs0z+4xTt61eRkk1h0tS+MiKEmrRaDf6ejqwZ34KcvPxHGmV597a0rD96hU9/j+ZcQgaf9G4onwfCrKVk5jJj61na1HWnWU1XtcMR5Zwx359LtP8y2YsQQpQmrVZpHupcTblt9hyEDIFtn8Cebx9qEzoLLa938OfMtTTWHIor5YCFeDSV7SyZ3C9YtSsjQqhNq9Xg7mhtlFGWhbdlw8jmfrz0RG1WRMYw4cfD5OU/3HhxIUzR7L/OkpKZW+x+NEKUlDHfn4tLKjeEEOWPVgvdvoasFNjwFtg4QcigBz7tqcAq9An1xtXeitikDKzLONssxMPafuY60yJOM2d4OJVsdGV+ZUSI8kyj0TChgz/WlhZM2hhNdq6erwc1kj4cwuxcu5nFDzsu0C3Yi0BvJ7XDEaLUybu0EKJ8stBBn++hRhtY9zycWP/ApxgMMKK5H++tO0bLz7fSa+ZOouNTZd21MCkGg4FvtpzhWmo2tdwdVLkyIkRF8Hzb2vy3a302HL/KM4siycqVnjbCvHyz5Qy5+Xpea19X7VCEKBOS3BBClF+WNjBwKXg1glVPw7lt9314YnoO45ccLDSBYuzCSBLTH26srBBlYfe5RA5cTOLZNjXlSrIQpWxUyxp80qsh204lMHrBfjJy8tQOSYiHcjExnWX7LjGgcTX83OzVDkeIMiFHRUKI8s3aAYasBNfasGwwxEbe86H3mkCRli0Hs8J0TN9yBg9Ha/qFV1M7FCEqhMFNfZncN5jdZxMZ8cM+UrNy1Q5JiAf6atMpdBYaXnqyjtqhCFFmJLkhhCj/7CrDsDXg4AGL+0B8VJEPuzWB4k4+Lracik/l6Xn7OHgpqSyiFeKeDly8wa6ziYxrXRMbS5mMIkRZ6RPmwzeDQjl0KZmhc/eSnCEVfcJ0Hb+cwrrDl3m6RQ08K9moHY4QZUaSG0KIisGxCgxfC5a2sKgX3Dh/10OKms09e1gYNzNzORyTTO+Zuxg6dy/7zt8o4+CFUHyz5QyV7a0Y3NRX7VCEqHC6BFVl1tAwTlxJZdCcvSSmZasdkhBFmrwxmko2Op5tXUvtUIQoU5LcEEJUHC5+SgVHfjYs7AE3rxT68Z2zuXe+1ZY141tQr0ol+oVXY8dbT/BOp3qcvHqT/t/tZsB3u9l15joGgzQbFWXj79gUtkUnMLplDeysZNiZEGpoX9+TuSPCOX89jQGz93DtZpbaIQlRyN5ziWyNTuC5x2vjZGepdjhClClJbgghKhaPABi6GjISlQqOjMJVGPeazW1vreOZNrXY/uYT/Ldrfc5fT2fw3L30/XY326KvSZJDlLpvtpymko2O4Y9VVzsUISq01nXdmf90Ey4nZ9L/u93EJWc++ElClAGDwcAXG6PxrGTNyOZ+aocjRJmT5IYQouLxDoNBy+DGOaUHR3bqQz/V1sqCUS1r8NebbfmoRwOuJGcyct5+es7YSURUvCQ5RKk4efUmf0TF83SLGjjayJU4IdTWrKYri0Y3JTE9h/7f7uZiYrraIQnB5hPXOHAxiZefrIutlfRlEhWPySc3YmJiaNu2LfXr16dBgwZMmzat0M+//PJLNBoN169fVylCIYRZqtEa+s2HK0dg2SDILV5psY2lBcMe82PbG235tHdDbmTkMGZhJF2+3sHvf19Brzeg1xtISM0mLimDhNRs9HpJfIiSmbH1LPZWFjzdwk/tUIQQ/wir7sKysc1Iz8mj/3e7OXMtTe2QRAWWrzcwaWM0Ndzs6Rfuo3Y4QqjC5JMbOp2OL7/8kqioKPbs2cOMGTOIilImHcTExPDHH3/g6yuN1YQQJVCvM/ScBRe2w6pRkF/8ka9WOi2Dmviy5bXHmdwvmMzcfJ5bcpBXVhzi77gUes3cSYvPt9Jr5k6i41MlwSGK7WxCGuuPXmZ4cz+c7azUDkcIcYdAbyeWj2tGvt7AgO92cy4hTZLaQhXrDscRHZ/Kax3qYmlh8qd4QpQKk//Lr1q1KqGhoQA4OjoSEBBAXFwcAK+++ipffPEFGo1GzRCFEOYseAB0ngzRv8K650GvL9FmLC209A3zIWJCG6YNDKFPqA/PLz1IbJKyFjs2KZOxCyNJTJfxgaJ4Zm49i7VOy+iWNdQORQhRhHpVKrHimccI8XHi6s0sSWqLMpedl89Xm04R6F2JzoFV1Q5HCNWYfHLjThcuXODQoUM0bdqUdevW4e3tTXBw8H2fM3v2bMLDwwkPDychIaGMIhVCmJUmY6Htu3B0OWx4Gx6hb4aFVkOPEG9qezgUJDZuiU3KJCcv/1GjFRVIzI0M1h6OY3CT6rg5WKsdjhDiHmq5OzCxZyBvrjoqSW1R5pbtvURsUiZvdqxX0AhdiIrIbGbJpaWl0adPH6ZOnYpOp+OTTz7hjz/+eODzxo0bx7hx4wAIDw8v7TCFEOaq9euQlQwxe+DyIbB3B50V2LmDtvh5YCudBT4utoUSHD4utljppMGXeHgzt53FQqNhXOuapbsjvR4yEiAv55H+7oWoyDQgSW1R5tKy8/hmyxkeq+lKqzpuaocjhKrM4sglNzeXPn36MGTIEHr37s3Zs2c5f/48wcHB+Pn5ERsbS2hoKFevXlU7VCGEudJooP2H0OF/sHIETA2Eue3gWlSJlqq42lsxZ3g4Pi62gJLY+G5YGK720jNBPJwrKZmsOhBD/8Y+VHGyKb0d6fXK3/ncdo/8dy9ERXYrqX0nSWqL0vbDjvMkpufw5lP+slRfVHgmn9wwGAyMHj2agIAAJkyYAEDDhg25du0aFy5c4MKFC/j4+HDw4EGqVKmicrRCCLOWcR1+GgvJl5R/J1+C5YOUK9rFpNVq8Pd0ZM34Fvz5xuO817U+x+NSpFxUPLTv/jyHwQDPtK5VujvKSFD+zo3wdy9ERVZUUvvzPkGcufbw48aFKI4b6TnM/uscHRt40sjXRe1whFCdyS9L2blzJ4sWLaJhw4aEhIQA8Mknn9C5c2d1AxNClD95ObdP8G5JvqTcXwJarQZ3R2vAmv9b8zcXrmfQJ6waFpLgEA9wLTWLZfsu0auRN9Uq25Xuzoz8dy9ERXVnUjsnLx8LrYYv/zjFT4fimDoghG7BXmqHKMqZmVvPkJGTx+sd/NUORQiTYPLJjZYtW2J4QHO/CxculE0wQojyTWcFzr6FT/ScfSH1Kjj5KEtXSmho0+o8t+QgW09eo119TyMEK8qz77efJzdfz/i2tctmh0X93etkCZUQxXU7qa34b7f6XEzM4OXlh8jO09M3zEfF6ER5EpecycI9F+kT6kMdT0e1wxHCJJj8shQhhCgzdu4wcJlyYgfKbe+5sPFt+PlF0Je8KVy7+p54OFqzeO9FIwUryquk9BwW7blIt2AvarjZl+7O9PmwYwp0n174737gMuX/ByHEI3G0sWT+qMY0r+XG6yuPsHiPfAYI45gWcQoM8Er7umqHIoTJMPnKDSGEKDNaLXjUhzERd0yNcINaT8Kfn0N2KvSeU6Ir2pYWWgY28eWbLaeJuZFR+ksNhNn6Yed5MnLyeb4sqja2fwmR30Pt9v/6u5dpKUIYi52Vjrkjwhm/5CDvrj1Gdp6e0S1rqB2WMGNnrqWy6kAsT7eogbez7YOfIEQFIUcuQghxJ60WHDzBuZpyq7WAtv+nTFGJWgvLB0NORok2PbBxNTTAkr2XHvhYUTGlZOYyf+cFOgVWoW5plxlf2AnbPoWgAeD/1L/+7uXwQAhjsrG04NuhYXQKrMJH66OYsfWM2iEJMzZ54ynsrHSMf7yUG04LYWbk6EUIIR5G8xeg29dwJgIW94GslGJvwsvZlicDPFkZGUN2XsmXuIjya9HuC6Rm55V+1UbGDVg9Blz8oMuXj9RPRgjxcKx0Wr4Z1IieIV5M2hjN5I3RD+wrJ8Qter2BhNRszl9Po1eoN+92CcDVwfrBTxSiApFlKUII8bDCRoC1A/w0DhZ0g6FrwN61WJsY2qw6m6Li2XDsKj1CvEspUGGO0rPz+H7HeZ6o50Ggt1Pp7chggLXjldHHozeBtTSiE6Ks6Cy0fNk/BBtLC6ZvPUNWbj7/6RKARhKM4j70egPR8amMXRhJbFImPi62zB4Whl5vkBHzQtxBKjeEEKI4AvsozRYTomFeJ7h5uVhPb1XbjequdizZI0tTRGFL9l4kKSOXF54o5aqNvd/Cqd+h/UfgFVK6+xJC3MVCq+GTXg0Z2dyPuTvO8966Y+j1UsEh7i0xPacgsQEQm5TJuEUHSEyXkd1C3EmSG0IIUVx1O8DQ1Upi44eOcOPcQz9Vq9UwuIkv+y7cIPpqaikGKcxJVm4+s/86T8vaboT6upTeji4fgj/eg7qdoOkzpbcfIcR9abUa3u9Wn2fa1GTxnku8ufoo+ZLgEPeQk5dfkNi4JTYpkxxZ4ipEIZLcEEKIkvBrCSN+huw0+KETxEc99FP7hVfDSqdliYyFFf9Yvu8S19OyS7dqIzsVVo0CBw/oOVP6bAihMo1Gw9tP1eOVdnVYdSCWl5cfIjdfr3ZYwgRZ6SzwcSk8FcXHxRYrnYVKEQlhmiS5IYQQJeUdCk//rnw/vzPEHXiop1W2t6JLw6r8dDCO9Oy8UgxQmIPsvHy+++scTfwq06xm8Xq4PDSDAdZPgKQL0Gcu2FUunf0IIYpFo9HwSru6vN2pHuuPXuH5JQel4bS4S05ePp/3CSpIcPi42DJneDiu9sUfTS9EeSbJDSGEeBQe9WDUBrCuBAu6w/ntD/W0oc18ScvOY93h4vXsEOXPTwfjuJKSVbpVG4eXwt8/wuPvQPXmpbcfE7Zy5UoaNGiAVqslMjLyrp9funQJBwcHJk+erEJ0oqJ7tk0tJnZvwB9R8YxbeICsXElwCIXBYODtn/5m+pbT/PjMY+x8qy1rxrfA39NRmokK8S+S3BBCiEdVuYaS4HDyUcbERm944FNCfV2oV8WRxXsuyijACiw3X8/MbWcI9nGiVR230tlJwin47XXwawWtXiudfZiBwMBAfvrpJ1q3bl3kzydMmECnTp3KOCohbhvR3I/Pejfkr9MJPD1vP+lZeSSkZhOXlEFCarY0Ha2gfvv7KttPX6dDgyp4Odvi7WKHu6O1JDaEKIIkN4QQwhgqecHI38CzPqwYAn+vuu/DNRoNQ5tVJ+rKTQ7FJJdNjMLk/Hz4MjE3MnnxiTqlMwoyNxNWPQ2WttB7Dmgr7vrsgIAA/P39i/zZ2rVrqVGjBg0aNCjjqIQobGATX6b0DyE7L59jl1PoNXMnLT7fSq+ZO4mOT5UERwWTmpXLh+uP08CrEsOaVVc7HCFMniQ3hBDCWOxdYfjPUK0prB4DUT9DWjwkxyi3+sKN4no28sbeyoLFe6SxaEWUrzcwY9sZAqpW4skAj9LZyR/vQvwx6PUdVKpaOvswc2lpaXz++ee8//77aociBKB8NnzeJ4jXVh4pNPpz7MJIGf1ZwUzZdJprqdn8r1dDdBZy2ibEg8j/JUIIYUw2lZQxsc2eAxsnmNsOpgYqt9eiCiU4HKx19Ar1Zv3RKyTJAWuF89vfVziXkM4LbWuXTtVG1M+wfy40fxHqtDf+9k1Qu3btCAwMvOtr3bp193zOBx98wKuvvoqDg8MDtz979mzCw8MJDw8nISHBmKELUYidlYWM/qzgjl9OYf6u8wxu4ktINWe1wxHCLOjUDkAIIcodS1to8TJ83x6SLyn3JV+C5YNgTAQ4eBY8dGiz6izec4lVB2IZ27qmSgGLsqbXG5i+5Qy1PRzoFFjF+DtIugg/vwBeofDEf42/fRMVERFR7Ofs3buXVatW8eabb5KcnIxWq8XGxoYXXnjhrseOGzeOcePGARAeHv7I8QpxL7dGf96Z4JDRnxWHXm/g3bXHcLGz4s2O9dQORwizIckNIYQoDfm5txMbtyRfgrzCFRr1qlQivLoLS/ddYnTLGtIgrJzT6w0kpueQkpnDhA51sbLQGP+/eX6usizKYIC+P4BORgXez/bttyccffDBBzg4OBSZ2BCiLLnaWzFneDhjF0YSm5SJj4stX/YLxtZSiq4rghWRMRy6lMyX/YJxsrNUOxwhzIa8QwohRGnQWYGzb+H7nH2LPNEc0syX89fT2XU2sYyCE2rQ6w1Ex6fSa+ZO2n31Fx+tj6JKJVvjNwjc+gnE7oNuU5VJPgKANWvW4OPjw+7du+nSpQsdO3ZUOyQh7kmr1eDv6cia8S3Y+VZb5o1szOcbTjJy3n7Ss/PUDk+UosS0bD77/SRNa1Smd6i32uEIYVY0hgo0gzA8PLzI2fZCCGF0er3SY2P5IKViw9kXuk+HuAPQ4hXQ3s4tZ+Xm89inm2law5Vvh4WpF7MoVQmp2fSaufOuMvM141vg7mhtnJ2c3QKLekPocOj+tXG2aQTl8fO3qNeUm5tLbGwsWVlZKkVlPmxsbPDx8cHSUq5KP6xfj17hpeWHCKvuwvynG2NnJQXY5dHrK4+w9lAcv7/cijqejmqHI4TJud8xhbwrCiFEadBqwaO+0mMjL0ep2Ij6GTZPhMSzyonnP2M5bSwt6B9ejbk7znM1JYsqTjYqBy9KQ05efuk2CEyNh5/GgXs9eOoz42xTFEtsbCyOjo74+fmVTpPYcsJgMJCYmEhsbCw1akh10cPqElSVfIOBV5YfYvT8SH4Y2RhbK+nBUZ7sO3+DVQdiebZNLUlsCFECsixFCCFKi1arNA91rqbcNh4Dbd6Cw4th7XOQf7u0eHBTX/L1Bpbvv3SfDQpzZjAolRp3MlqDQL0e1jwD2WnQbx5Y2T36NkWxZWVl4erqKomNB9BoNLi6ukqFSwl0D/biy/7B7DmfyNiFkWTlyvSU8iI3X8+7a//G29mWl56srXY4Qpglk09uxMTE0LZtW+rXr0+DBg2YNm0aAG+88Qb16tUjKCiIXr16kZycrG6gQgjxIBoNtP0/aPsuHF0Ba8YpzR+B6q72tK7rzvJ9MeTl6x+wIWFurqZk8eH643zRN6ggweHjYsuc4eG42huh4efOqXBuK3T6DDwCHn17osQksfFw5PdUcr0a+TCpbzA7z17nmUUHJMFRTvyw4zyn4tP4oHsDWXIkRAmZfHJDp9Px5ZdfEhUVxZ49e5gxYwZRUVG0b9+eY8eOcfToUerWrcunn36qdqhCCPFw2rwB7SbCsdWwalTBBJWhTX25ejOLiBPXVA5QGFNSeg7Dvt/LzjOJuDlYFTQIXDO+Bf6ejiWflqLXQ1o8XD8DbnWh5WsQOsK4wQuTlZyczMyZM9UOQ6ikb5gPn/VuyJ+nEhi/5CDZxlreJlQRl5zJ1IjTtAvwpH19zwc/QQhRJJNPblStWpXQ0FAAHB0dCQgIIC4ujg4dOqDTKVnNZs2aERsbq2aYQghRPC1fgY6fwomfYeVIyMvmiXoeVHWyYcnei2pHJ4wkLTuPkfP2cfFGBnNHNKauZyXcHa3xdrHD3dH60RIb16JgbjuYHgYb34EGvZS1L6JCkOSGGNDYl096NWTLyWs8v+QQOXlS9WeuJv58HAMG3u9WX+1QhDBrJp/cuNOFCxc4dOgQTZs2LXT/Dz/8QKdOnVSKSgghSuix8dB5MkT/CiuGotPnMKiJL9tPX+f89XS1oxOPKCs3n7ELIjl2+SYzB4fyWC1X4208I+H2JB5QblcMVu4XFcLbb7/N2bNnCQkJoV+/fqxdu7bgZ0OGDGHdunXMnz+fHj168Pjjj1OnTh0mTpxY8JjFixfTpEkTQkJCeOaZZ8jPlyv/5mhwU18+6tGAiBPxvLjsILllsKxRrzeQkJpNXFIGCanZxh9nXcFsPhHPH1HxvPRkHapVln5JQjwKs0lupKWl0adPH6ZOnUqlSpUK7v/f//6HTqdjyJAhRT5v9uzZhIeHEx4eTkKCHPQJIUxMk7HQbRqc3gTLBjIwxBWdVsNSqd4wa3n5el5cdojd5xKZ3C+IdsYuM87NvJ3YuCX5UsESJ1H+ffbZZ9SqVYvDhw/zwgsvMH/+fABSUlLYtWsXXbp0AWDfvn2sXr2ao0ePsnLlSiIjIzlx4gQrVqxg586dHD58GAsLC5YsWaLiqxGPYthjfrzfrT4bj8fzyvLDpdq3Sa83EB2fSq+ZO2nx+VZ6zdxJdHyqJDhKKDMnn/d/Pk4dDwfGtKypdjhCmD2zSG7k5ubSp08fhgwZQu/evQvunz9/PuvXr2fJkiX3bEw1btw4IiMjiYyMxN3dvaxCFkKIhxc2EnrMgHPb8PhlOF0DKrHyQKw0iTNTer2BN1cdZVNUPB/2aECvRj7G3UHqVWWcsLNv4fudfZWRw6LCadOmDadPnyYhIYFly5bRp0+fgqW77du3x9XVFVtbW3r37s2OHTvYvHkzBw4coHHjxoSEhLB582bOnTun8qsQj+LpFjV4t0sAv/59hVd/PFJqCY7LKZmMXRhZMNY6Nkn5d2K6JFZLYvrW08QmZfJRz0CsdGZxWiaESTP5VrwGg4HRo0cTEBDAhAkTCu7fsGEDX3zxBX/++Sd2dlLCJYQwc42GgFYHa59lovsHNM94ll+PXqFPmJFPjFFOvhPTc8jJy8dKZ4GrvVXJez+IQgwGAx+uj+KnQ3G81r4uwx/zM+4Oki/Bwh7g6AX9FsLK4cp9zr4wcBnYSRK/oho+fDiLFy9m+fLlzJs3r+D+f1/80Wg0GAwGRowYIc3Yy5kxrWqSpzfw2e8n0Wk1TO4XjIUR3tuv3czi17+v8PORy7z9VL2CxMYtsUmZ5EhD02I7cy2V2X+do3cjb5rVNOKyRSEqMJNPbuzcuZNFixbRsGFDQkJCAPjkk0946aWXyM7Opn379oDSVPTbb79VMVIhhHhEwQPAQkel1WP50e4LPt39sdGTG7dKim9debs1jvSRpnaIAlMjTjN/1wVGt6zBC0/UNu7Gr59REhs5qdBrNlQNhjERylIUnZWS2NDKlb+KwtHRkdTU1IJ/jxw5kiZNmlClShXq17/dlHDTpk3cuHEDW1tb1q5dyw8//ICdnR09evTg1VdfxcPDgxs3bpCamkr16tXVeCnCiJ5tU4t8vYFJG6PRajRM6htUovf25IwcNhy7ys9HLrPnXCJ6AwRUrYSdtQU+LraFEhw+LrZY6SyM+TLKPYPBwHtrj2NracH/dZHx3UIYi8knN1q2bImhiO7vnTt3ViEaIYQoZYF90GgtCVj5NK9fe4uT5+tRr4bvg5/3kBLTc4osKV4zvgXujtZG209F9MOO80zbfJp+YT682yXgnsslS+TqMVjUCwx6GLEeqgYp9zvIyMCKytXVlRYtWhAYGEinTp2YNGkSAQEB9OzZs9DjmjRpQp8+fYiNjWXo0KGEh4cD8PHHH9OhQwf0ej2WlpbMmDFDkhvlxPNta5OXb2BKxCl0Wg2f9m74UAmO9Ow8NkXF88uRy/x1OoHcfAN+rna80LY23YK9qOPpiF5vYM7w8EIJ8pmDQ3G1lyVxxbHu8GV2n0vk456BuDnIZ68QxmLyyQ0hhKhw6ncns9d86q8eScKPfeDFjWBX2Sibzs7NL7Kk+HpaNlm5+dKpvYRWRsbw4foonmpQhU97NzRuYiP2ACzuDZZ2MHwduNc13raFWVu6dGnB9xkZGZw+fZpBgwYVeoyPj0+hSSq3DBgwgAEDBpR2iEIlL7erQ55ezzdbzmBhoeF/PQOLfF/Kys1nW3QCvxy5zOaT8WTl6qnqZMPTLWrQLciLQO9KhZ6n1Wrw93RkzfgWZOflcy4hnUkbTzKpXwhVnGzK8iWarZTMXD7+NYrgas4MbmK8ixdCCEluCCGESbIP6sbcyE8YdvE/5M/rgsXIX8DercTbMxgMbDx+FSudtsiS4ks3Mnhm0QFCfZ3pHuxFlyAvqeR4SBuOXeWt1UdpVceNaYNC0FkYcWnIhR2wdIDy3374OnDxM962RbkRERHB6NGjefXVV3FyclI7HGEiJrSvS57ewKxtZ6le2ZbeoT7k5OmxtNASk5TB0r0x/HH8KqnZebjaW9EvrBrdQ7wI83W5b6WHVqsp+HzIydNz4FIyLy8/xNKxzYzS46O8m7wxmhvpOcx/uoksBxXCyCS5IYQQJiq8/QBGzUpiQeIU+O1N6PAhGAzF7q9w4Xo67/98nD9PJdAjuCqzhoTy3JKDhXpuONtZ8uZT/vx8+DIf/BLFh+ujaFHbje7BXnQMrEIlG8tSfrXmaeeZ67y07BDB1Zz5dmgY1sZcd356E6wYqiQ0hq2FSlWNt21RrrRr146LF+8eHz1y5EhGjhxZ9gEJk6DRaHizoz8ejtbU9XSk18xdBe/7n/cJ4kpyBh0Dq9A92IvmtVxLlJit6e7Axz0DmfDjEaZvOcPL7eqUwispP47EJLN470VGPOZHoLckIoUwNkluCCGEiQr2cSKlagu+da7J82GeaOZ1KjwZw6P+fRMcWbn5zNp2lll/nsVSq+HdLgGMbO6HVqNhzfgWd01LGf94bcY/XptT8an8fPgy647E8caqo/xn7TGe8Pege4gXT9TzwMZSGscBHLqUxNiFkdRws2feyMbYWxvxI/X4Wlg9Bjzrw9A1YC+d9IUQxafRaOgaVLUgsQHKUsS3Vh9l9XPN8az06EtJeof6sOP0daZtPkWzmpVpKpM/ipSvN/Du2mO4OVgzoYMsLxSiNEhyQwghTJRGo2Fo0+rUsXdH83M/JbEByu3yQcqkjHs0lNx68hrv/3ycSzcy6BbsxbtdAgodxN5vyUldT0de7+jPax3qcjgmmXWHL7P+6BU2HL+Kg7WODg086RHiTYtarmg1mgo5Vjb6aioj5+3H3dGaRaOb4GxnxGZ6h5fCuufBpwkM+RFs5OqeEKLkcvL0RfZaysvXG20fH/YM5FBMMi8vP8zvL7fCRRqM3mXJ3ov8HZfC14MaSTWkEKVEkhtCCGHCuod4kXT53O3Exi3JlyA3667HxyZl8OEvUfwRFU9Nd3uWjGlKi9ol69Wh0Who5OtCI18X3utan91nE/n5SBy/H7vKTwfjaFPHjRefrMMrKw5XqLGylxIzGPb9XmwstSwe3RQPI1z5LLBvDvz2OtR8HAYuBSt7421bCFEhWelKf3yrg7WObwY1ovfMXbyx6ghzhocbt7GymdLrDSSm55CZm4eXkw0jHqtOtyBZYihEaZHkhhBCmDA7Kx2JWitlKcqdCQ5nX7gWBWe3QOgIcvQwd8c5vt58GoA3OvoztlVNrHTGaW5podXQso4bLeu48VHPQLZFJ+BiZ1mQ2ICKMVY2/mYWQ77fQ06+nh+fecy402W2fwWbJ4J/F+j7A1jK5AEhxKNztbe6a3zrnOHhRh/fGujtxDud6zHxlyjm77rA0y1qGHX75kavNxAdn1ro9/7t0DAMBpC8jxClw4gt3YUQQpQKezcSuy1QEhqg3PZfDKf+gPWvkDqzLS99NY8vNkTTuo47ERPa8Hzb2kZLbPybtc6Cjg2q4O1sW2Spc05efqnsVy16vYGE1GxibmRw8moq3k62zH+6CXU9HY2zA4MBIiYqiY2G/aD/AklsiFLVuXNnkpOT7/uY//73v0RERJRo+9u2baNr164leq4wvjvHt+58qy1rxrcotQq7kc39aBfgwae/neRYXIrRt29OEtNzChIboHw+Prv4AInpOSpHJkT5JZUbQghh4qq5OvDunxYM7PQTDTxt0PwzLSW+9SdsiKtC5yvTmaF5nSsNh+DT+2OwNWI1wX3cq9TZUCZ7LxtFXXmbOSSUQC8j9cHQ62HD27DvOwgbCV2+Aq00bBWlw2AwYDAY+O233x742A8//LAMIhJl5c7xraVJo9EwqW8wnaZt58Vlh/jlxZY4GLPZshnJycuvEBcAhDAlUrkhhBBmoENgVeLyHDmb48I1vRPrjl7hya/+4n+xQaxsthZD2Ch8Ti+G6Y3h6I9KNUApu1Xq7ONiCyiJjS/6BjHx5+PE3Mgo9f2XhaKuvI1fctA4V970+fDzC0pi47EXoOtUSWyIR/bVV18RGBhIYGAgU6dO5cKFC/j7+zN8+HACAwOJiYnBz8+P69evA/DRRx/h7+9Py5YtGTRoEJMnTwaUMbKrVq0CwM/Pj/fff5/Q0FAaNmzIyZMnAdi3bx+PPfYYjRo1onnz5kRHR6vzooVJcbG3YtrAEC4mpvPftcfUDkc1Go2m4PPxFmP3OhFCFFYxU6lCCGFG9HoD7g42jF10u3rg8z5B9AvzYURzP/zc7IEwCBsK6yfAT2Ph4ELoPBk86pVaXHeWOt+alpKSmcO+C0kMnL2HFc80w8elbKpISktqVq5xr7zp9ZCRAHnZkBwD16Ph8XegzVuyCLucmfjLcaIu3zTqNut7VeL9bg3u+fMDBw4wb9489u7di8FgoGnTprRp04bTp0+zYMECmjVrVujx+/fvZ/Xq1Rw5coTc3FxCQ0MJCwsrcttubm4cPHiQmTNnMnnyZObOnUu9evXYvn07Op2OiIgI/u///o/Vq1cb9TUL89S0pisvPVmHqRGnaVHbjT5hPmqHVKaycvP5evMpvugTxJurj5ZqrxMhxG2S3BBCCBOXmJ5TkNgA5eT6rdVHWTO+Oe6Od/Rm8GqkjIc9uEDp4fBtC6UioM2bpTZ149+lzu6O1iwe3ZQhc/f8k+B4DG9n2/tswXQt23cJV3sr400Z0OuVJrDLBynNYZ19lcahXmGS2BBGsWPHDnr16oW9vfL/e+/evdm+fTvVq1e/K7EBsHPnTnr06IGNjQ02NjZ069btntvu3bs3AGFhYfz0008ApKSkMGLECE6fPo1GoyE3N7cUXpUwVy8+UYfdZxN5b90xGvk6U9PdQe2QyoTBYOCdn/5mzaE4ugZ7FboAUFHGpQuhFkluCCGEibv3ul393Q/WWkD4KAjoDpveh51T4e9V0OkzqNe1TE6iG/o4sXhMU4bM3cug2XtYPq4ZXmaU4MjN1/PR+igW7r7IyOZ+zB4WxrhFBx79yltGwu3EBii3q0YpCSkHT+O+CKG6+1VYlLVbyY5HYW2tJDEtLCzIy8sD4L333qNt27asWbOGCxcu8Pjjjz/yfkT5YaHVMHVgCJ2nbeeFpYdY83xzrEtpScatkaumkESYue0saw7F8Vr7urSs7a5KDEJUVNJzQwghTNytxp13emD1gL0b9JwBT28AGydYMRSW9ocb50s5WkWQjzOLRjclKT2HQXP2cCUl88FPMgE30nMY9v1eFu6+yLjWNXmva33qVan06FMG0q7BzcuFx/mC8u886ZwvjKNVq1asXbuW/2fvzuOiKr8Hjn9mGHYQEEER3FcQEBFX1DS3XEJxy11zK7XNVqtvv2zfy0qt1HJfcsMttdTUXDJFRVMU9xRURARkh2Hm98cNlAQXGLgMnPfrxWvkMvPMmYm4z5z7POekpaWRmppKWFgY7du3L/T+wcHBbNiwgYyMDFJSUti4ceNDPV9SUhKenp4AzJ8/vzihi3LKw8mWzwc2JfLqLT7adKpEniO38HPorL0Ef7KD0Fl7iYpNxmAo/fLWm/6+yme/RtE3oDrPPFq/1J9fiIpOkhtCCFHGFVS484FXD9RqA0/tgu4fwj/7YGYrOLQQkq8pNR9SYpXtEiUgoIYzC8a2JD4li6Fz/uJaUkaJPI+pnLx6i5AZezh8KZEvBzXljZ7eWGg1eVtvPF3scHO0frjEhsEAB3+EGUGQFHO7nW8u55qgk/3XwjQCAwMZPXo0LVu2pFWrVowbNw4XF5dC79+iRQtCQkLw9/enR48e+Pn54eT04J2AXn31VV5//XWaNWuWt5pDiP/q7F2VMcF1mL/vIlsjY00+/o2UzLsKP49fGF7qLVePRSfy4ooIAms683F/fzSy3VCIUqcxGkuhpH4ZERQURHh4uNphCCHEQzPJkttbV+DAXKj7iNKlI7fuw+Bl4O4D2pLJdx/65yYjfzxA1Uo2LJ/QGvdKNvd/UCnbcvwqL644iqONjh9GBBFQw7n4g149ChunQMwhqN0eQmZAVkr+mhsl/N6XFeXx/FvQazp58iTe3t4qRVQ0KSkpODg4kJaWRocOHZg9ezaBgYGl8tzm+H6JosnU59D/u31EJ6Sz6bn2JtmqGJ+SybIDl2hV15WB3/9518/3vNap1IpaX0vKoM/MPei0WtZODi6VtrtCVFT3mlOU79mUEEKUE8VaPZCrUnVo/dTtxAYot8uHKPUgSkjzWpVZMKYl125lMHjOfq4nl50VHAaDka+2nubpxYdpWNWRDc+0K35iIzMZtrwOszsq72+/OTBqA1SurSQyxm2DF44rtxUgsSHKtgkTJhAQEEBgYCD9+/cvtcSGqFisdRZ8OySQbL2BF5ZHoM8p+orByCu3eGXlUdp8/Duf/3aa7BxDgVs3L9xI5fqtkj/fpGXpGbfwICkZen4cHSSJDSFUJAVFhRCiItFnFVz3ISkaEqPBq+A2kMUVVLsy859syeh5Bxg65y+WjW+t+gQwNVPPiysi+PVELP0Dvfgg1Bcby2IUuzMaIXIdbJmqbPsJehI6/x/Y3rEtQKuV4qGiTFm6dKnaIYgKok4Ve94P9WXKz0f55vezvNi14QM/NsdgZGvkNebtvchfF25ia2nBoCAvRretTd0qDswZGZS3NcXLxZaZQwP5aNNJLsanMXdUEL6eD77d6mEYDEZe/PkokVduMXdUEI2rVSqR5xFCPBhJbgghREWis1K2Q9yZ4HCuqRS8XDYYGvaATm+Ah7/Jn7plncr8NLoFT847yNA5+1k2oTVVHNRJcFyKT2P8wnDOXE/mrd4+jAmuXbz90TcvwKaX4ew2qOYHTywGryDTBSyEEOVAaDMv9pyJ59vfz9Cmritt6rne8/5Jadn8HH6JBfv+ISYxHU9nW97o2ZgngmriZGeZd79GVR3varn6f483YfzCcAZ8v48vBwXQ08/D5K/n89+i2HLiGv/r5c2jjSVxLYTaZC2sEEJUJHZuSp2H3MKWuXUfareHTv+DS/vgh/bw8wi4ftLkT9+6ris/jg7ickIaw+b8RXxKpsmf4372nbtByMw9XLuVwYIxLRnbrk7RExv6TPjjM5jVGi7th8c+hvE7JbEhhBCFeLdPE+q42vPCz0e4WUjRz7PXk3kz7G9af7SdDzedwsvFlu+HB7LrlY5M6FAvX2IDCt666VO9EmsnB9OkuhOTlhzm621nMGWpwdWHopm18xxDWtZgbLs6JhtXCFF0snJDCCEqEq32dt0HfZayksPOTTn+yCvQcjz8ORP2fwcnN4Bvf+j4OlQxXUu7tvWq8OOoFoyZf5Bhc/9i6fjWVH6Qzi/FZDQaWfjnP7y7MZI6VeyZOzKI2lXsiz7ghT9g44sQfwZ8+sJjHyl1TYQQQhTK3lrHt0ObMW3dCaKuJVOzstLa3MXWkj/OxjFv70V2n7mBlU5Ln6bVGR1cmybVi7atxM3RmiXjWvHGmr/5attpzsal8NkA/+JtQQQOXrzJ62v+pk1dV97t4yudUYQoI8r8yo3Lly/TqVMnfHx8aNKkCV9//TUAN2/epGvXrjRo0ICuXbuSkJCgcqRCCGEmcus+ONdQbu8saGnrDI++CS8cg+DnIWoTzGwBYROVrRcmEly/CnNHBXH+RirD5v5FQgm37MvSG3h9zd+8vf4EnRq5ETap7YMnNgwGpWVubuvc1HhYMwEWPA6GbBi2GgYtkMRGGbdy5UqaNGmCVqu9q8r6sWPHaNOmDU2aNMHPz4+MjLJT9FaI8si7WiXe6OXNK6uOEvzJDkJn7SX8UgLfbj/L6dhkXu7WkD+nPspnA5sWObGRy8bSgi8GNeW1xxqz8dgVnvjhT2KLUWj08s00nlp0CE8XW74bHoilRZn/OCVEhVHm/2/U6XR88cUXREZGsn//fmbOnElkZCQff/wxnTt35syZM3Tu3JmPP/5Y7VCFEKL8sKsMXd+B549Cq4lwYg3MCIL1zykf8k2gfQM35owM4lxcCsPm/kVimukSHAaDkbjkTGIS0riSmM7/rfub5QcvM7lTPWaPCMLRxvL+gygDwfVImNsFpvsqt9dPwM1/oMMrMGk/NOhisrhFyfH19WXNmjV06NAh33G9Xs/w4cP5/vvvOXHiBDt37sTS8gF/P8qgb775Bm9vb4YNG6Z2KKxdu5bIyEi1wxBlUHxqFs8uO0J0QjoA0QnpvLzyKB/392f3q4/yzKMNcDVhTSaNRsPEjsrf/zPXUwiZsYe/o5MeepzkjGzGLjhIjsHIj6OCcLYr+VWHQogHV+aTGx4eHnltyRwdHfH29iYmJoZ169YxatQoAEaNGsXatWtVjFIIIcopB3d47EN4LgKaPwkRS+HbQPjlZbh19e5VDYaHa+/3SEM3Zo9oztnrKby78QTXktKJSUgjLjkTg6Foe6MNBiNRscmEztpL8Cc7GPTDn4Q09WThmBa80r3xw7XRTYtTWuXe2Tp33WToPxse/R9Y2t778aLM8Pb2plGjRncd/+233/D396dp06YAuLq6YmFRvCXrapo1axZbt25lyZIl972vXq8v0VgkuSEKk6XPyUts5IpOSMfB2gIrXcl9POnqU5XVE9ui02oZ+MM+fjl29YEfq88x8OyyI5yPS+W7YYHUdXMosTiFEEVjVjU3Ll68yJEjR2jVqhWxsbF4eChVj6tVq0ZsbGyBj5k9ezazZ88GIC4urtRiFUKIcqWSB/T6XNmq8sdncGgexJ6ArtNg9TjlQ39ucVJ3n/xbXe6jYyN3loxrRVaOgQHf/5nXym/OyCAaVXVEq9WgzzGQmplDcmY2qZk5pGRmk5yhJyVTT8q/t7nf9/Ctxgs/R+S7Ivjq6mOETQp+8NebcBFO/6q0xi2oda6mzF8bEA/o9OnTaDQaunfvTlxcHIMHD+bVV19VO6wiefrppzl//jw9evRg9OjR7N69m/Pnz2NnZ8fs2bPx9/dn2rRpnDt3jvPnz1OzZk2++eYbnn76aS5dUn7Pp0+fTnBwMCkpKTz77LOEh4ej0Wh4++236d+/PxMnTuTgwYOkp6czYMAA3nnnHQCmTp3K+vXr0el0dOvWjX79+rF+/Xp27drF+++/z+rVq6lXr56ab48oQ6x0Fni52OZLcHi5KLU3Spq3RyXWPRPMU4sOMXnpYc5cb8DznRvct27G+7+cZGdUHB+G+tG2fpUSj1MI8fDMJrmRkpJC//79mT59OpUq5e8hrdFoCv2DNGHCBCZMmABAUJBUrxdCiGJxrgEh30C7KZBy7XZiA5Tb5UOUYqUOD9cSr3YVe0Jn7c2XkBi/MJx3QprwzNIjpGfnPNA49lYWPOZbrcArgln6e4yRo4foA3B6i5LUiDulHB+2uuDWuTpZilwWdenShWvXrt11/IMPPqBPnz4FPkav17Nnzx4OHjyInZ0dnTt3pnnz5nTu3Pmu+z7UBZPNU+Ha3w//Iu6lmh/0KHwb7vfff8+WLVvYsWMH77zzDs2aNWPt2rX8/vvvjBw5koiICAAiIyPZs2cPtra2DB06lClTptCuXTsuXbpE9+7dOXnyJO+99x5OTk78/bfyGnJrm33wwQdUrlyZnJwcOnfuzLFjx/D09CQsLIxTp06h0WhITEzE2dmZkJAQevfuzYABA0z7Pgiz52pvxZyRQYxfGJ4voe1aCsWlAao4WLN0fCteX/M307ed4cz1FD4f0BRbq4KTK4v3/8P8fRcZE1yHoa1qlkqMQoiHZxbJjezsbPr378+wYcPo168fAFWrVuXq1at4eHhw9epV3N3dVY5SCCEqkMp1QKsreFVDwkXY9q7SDrVGS3BrDNp7X40rbIly1Uo2DG9dEwdrSxxsdDha63Cw0eHw723u9/bWOuytdFhoNcQlZz7YFcH0BDi7XUlonNkKGYnKa6oVDIGjoGF3cKmjrEbJ3ZqSuzrFzq0Yb54oKdu2bXvox3h5edGhQweqVFGuxPbs2ZPDhw8XmNwwpwsme/bsYfXq1QA8+uijxMfHc+vWLQBCQkKwtVW2VG3bti3f1pFbt26RkpLCtm3bWL58ed5xFxcXAFasWMHs2bPR6/VcvXqVyMhIfHx8sLGxYezYsfTu3ZvevXuX1ssUZkqr1dCoqiNhk4LJ0udgpbPA1d7q4bYNFpO1zoIvBjalYVVHPtlyiss305g9IohqTjb57rfnzI28YtRv9vIutfiEEA+vzCc3jEYjY8eOxdvbmxdffDHveEhICAsWLGDq1KksWLCg0CsyQgghSojOquBVDfpspctKxGLlmJUjeAYqiQ6vFsqXXeV8Q1npLOju48aE5pVwt9NwPc3I7EO3qFrJhjd7+TxUWK72Viwa04KUm9dwtjKQmKXFoXI1XO0sIS7q9uqMS/vBmAN2VaBRTyWZUe9RsMm/OrDQ1rmiXOjevTuffvopaWlpWFlZsWvXLqZMmVL8ge+xwkJt9va3OwUZDAb279+PjY3NPR6huHDhAp9//jkHDx7ExcWF0aNHk5GRgU6n48CBA2zfvp1Vq1YxY8YMfv/995J8CaIc0Go1uDmarmhoUWg0Gp5+pB713Bx4YfkR+szcw6KxLXGxsyZLn4PBCN/tPEN9Nwe+GdIMi1JMvgghHl6ZT27s3buXRYsW4efnR0BAAAAffvghU6dOZdCgQfz444/UqlWLFStWqBuoEEJUNHZuBa9qcPeBV8/DzfMQfRAuH1Bud3+pJBMAXOvfTnTUaIlrlUbM7GKLbsVASLxEDeeazBy0FK3dw5+mtBipnfMPms1D8sYy9puLZuW3cGqDcqdqfsrWmoaPKYmXe60syW2dK8xaWFgYzz77LHFxcfTq1YuAgAB+/fVXXFxcePHFF2nRogUajYaePXvSq1cvtcMttvbt27NkyRLeeustdu7cSZUqVe7a1gvQrVs3vv32W1555RUAIiIiCAgIoGvXrsycOZPp06cDyraUW7duYW9vj5OTE7GxsWzevJmOHTuSkpJCWloaPXv2JDg4mLp16wJKIfjk5ORSe81CFFVXn6qsmtiWL3+L4kZyFmPm394u8+kAf+pUsX/wLltCCNVojEZj0crRm6GgoKC7etsLIYQoBoNB6SjyIKsaslIh5rCS6MhNeqTdUH42eBlsee3uVSCDl8L5XaDPgJws5Vaf9Z/vM5WvnEzlZ4+8Bhufv3usPt9B/Glo0A2cvEruPRF3KY/n34Je08mTJ/H2VnfZeu3atQkPD0er1TJmzJgCC4o6ODjw8ssvA3Djxg0mT57MyZMn0ev1dOjQge+//56UlBQmT57MoUOHsLCw4O2336Zfv36MHj2affv2UaNGDZycnAgJCaF79+706dOHjIwMjEYjL7/8MqNGjWLv3r2MHz8ea2trVq1adVdB0bLwfglxpyuJ6Qz64c+7tjWGTQpWfZWJEEJxrzlFmV+5IYQQogx7mFUNVvZQp73yBWA0KvU5og+Ck2fB9TsykuC3N28f09mAhbWSSNHZgMW/t7nf66zB1qngsVxqQZ12RX6pQpiDixcv5v177dq1d/182rRp+b6vUqUKP//88133c3BwYMGCBXcdnz9/foHPe+DAgbuOBQcHSytYYVaMRuPDF6QWQpQZktwQQgihDo1GKUxauQ6kxBZcv8OlDky9/G8iw1J5zP0UNpZ0OBFCCHEParaoFUIUn1REE0IIob7c+h3O/7bYy63f4eihFPjUWT1YYuNeY0mHEyGEEPeQ26LWy0XpJlTaLWqFEMUjKzeEEEKoT6s1XVcSU44lhBCiwigLLWqFEEUnyQ0hhBBlgym7kkiHE6ESo9GI5kFXGVVgFaievTAzZaFFrRCiaOQylhBCCCGECdjY2BAfHy8f3O/DaDQSHx+PjY2N2qEIIYQoR2TlhhBCCCGECXh5eREdHU1cXJzaoZR5NjY2eHlJS2YhhBCmI8kNIYQQQggTsLS0pE6dOmqHIYQQQlRIsi1FCCGEEEIIIYQQZk2SG0IIIYQQQgghhDBrktwQQgghhBBCCCGEWdMYK1BJ7ypVqlC7dm2TjxsXF4ebm5vJxxX3J++9euS9V4e87+qR977oLl68yI0bN9QOw6RkTlH+yHuvDnnf1SPvvXrkvS+6e80pKlRyo6QEBQURHh6udhgVkrz36pH3Xh3yvqtH3ntRGuT3TD3y3qtD3nf1yHuvHnnvS4ZsSxFCCCGEEEIIIYRZk+SGEEIIIYQQQgghzJokN0xgwoQJaodQYcl7rx5579Uh77t65L0XpUF+z9Qj77065H1Xj7z36pH3vmRIzQ0hhBBCCCGEEEKYNVm5IYQQQgghhBBCCLMmyY1i2LJlC40aNaJ+/fp8/PHHaodTodSuXRs/Pz8CAgIICgpSO5xybcyYMbi7u+Pr65t37ObNm3Tt2pUGDRrQtWtXEhISVIyw/CrovZ82bRqenp4EBAQQEBDApk2bVIyw/Lp8+TKdOnXCx8eHJk2a8PXXXwPyuy9Kjswp1CNzitIjcwr1yJxCPTKnKD2S3CiinJwcJk+ezObNm4mMjGTZsmVERkaqHVaFsmPHDiIiIqSNUgkbPXo0W7ZsyXfs448/pnPnzpw5c4bOnTvLRLyEFPTeA0yZMoWIiAgiIiLo2bOnCpGVfzqdji+++ILIyEj279/PzJkziYyMlN99USJkTqE+mVOUDplTqEfmFOqROUXpkeRGER04cID69etTt25drKysGDx4MOvWrVM7LCFMrkOHDlSuXDnfsXXr1jFq1CgARo0axdq1a1WIrPwr6L0XpcPDw4PAwEAAHB0d8fb2JiYmRn73RYmQOYWoKGROoR6ZU6hH5hSlR5IbRRQTE0ONGjXyvvfy8iImJkbFiCoWjUZDt27daN68ObNnz1Y7nAonNjYWDw8PAKpVq0ZsbKzKEVUsM2bMwN/fnzFjxsgSxlJw8eJFjhw5QqtWreR3X5QImVOoS+YU6pK/q+qSOUXpkjlFyZLkhjBLe/bs4fDhw2zevJmZM2fyxx9/qB1ShaXRaNBoNGqHUWFMnDiRc+fOERERgYeHBy+99JLaIZVrKSkp9O/fn+nTp1OpUqV8P5PffSHKB5lTlB3yd7V0yZyidMmcouRJcqOIPD09uXz5ct730dHReHp6qhhRxZL7Xru7uxMaGsqBAwdUjqhiqVq1KlevXgXg6tWruLu7qxxRxVG1alUsLCzQarWMHz9efvdLUHZ2Nv3792fYsGH069cPkN99UTJkTqEumVOoS/6uqkfmFKVH5hSlQ5IbRdSiRQvOnDnDhQsXyMrKYvny5YSEhKgdVoWQmppKcnJy3r9/++23fJWfRckLCQlhwYIFACxYsIA+ffqoHFHFkXsSBAgLC5Pf/RJiNBoZO3Ys3t7evPjii3nH5XdflASZU6hH5hTqk7+r6pE5RemQOUXp0RiNRqPaQZirTZs28cILL5CTk8OYMWN488031Q6pQjh//jyhoaEA6PV6hg4dKu99CRoyZAg7d+7kxo0bVK1alXfeeYe+ffsyaNAgLl26RK1atVixYoUUqSoBBb33O3fuJCIiAo1GQ+3atfnhhx/y9msK09mzZw/t27fHz88PrVa5DvDhhx/SqlUr+d0XJULmFOqQOUXpkjmFemROoR6ZU5QeSW4IIYQQQgghhBDCrMm2FCGEEEIIIYQQQpg1SW4IIYQQQgghhBDCrElyQwghhBBCCCGEEGZNkhtCCCGEEEIIIYQwa5LcEEIIIYQQQgghhFmT5IYQosyZNm0an3/+udphCCGEEMLMyZxCiIpDkhtCCCGEEEIIIYQwa5LcEEKUCR988AENGzakXbt2REVFATBnzhxatGhB06ZN6d+/P2lpaSQnJ1OnTh2ys7MBuHXrVr7vhRBCCFGxyZxCiIpJkhtCCNUdOnSI5cuXExERwaZNmzh48CAA/fr14+DBgxw9ehRvb29+/PFHHB0d6dixI7/88gsAy5cvp1+/flhaWqr5EoQQQghRBsicQoiKS5IbQgjV7d69m9DQUOzs7KhUqRIhISEAHD9+nPbt2+Pn58eSJUs4ceIEAOPGjWPevHkAzJs3jyeffFK12IUQQghRdsicQoiKS6d2AEIIUZjRo0ezdu1amjZtyvz589m5cycAwcHBXLx4kZ07d5KTk4Ovr6+6gQohhBCiTJM5hRDln6zcEEKorkOHDqxdu5b09HSSk5PZsGEDAMnJyXh4eJCdnc2SJUvyPWbkyJEMHTpUrrAIIYQQIo/MKYSouDRGo9GodhBCCPHBBx+wYMEC3N3dqVmzJoGBgdjb2/Ppp5/i5uZGq1atSE5OZv78+QBcu3aNOnXqcPXqVZydnVWNXQghhBBlh8wphKiYJLkhhDBLq1atYt26dSxatEjtUIQQQghhxmROIUT5IDU3hBBm59lnn2Xz5s1s2rRJ7VCEEEIIYcZkTiFE+SErN4QQQgghhBBCCGHWpKCoEEIIIYQQQgghzJokN4QQQgghhBBCCGHWJLkhhBBCCCGEEEIIsybJDSGEEEIIIYQQQpg1SW4IIYQQQgghhBDCrElyQwghhBBCCCGEEGZNkhtCCCGEEEIIIYQwa5LcEEIIIYQQQgghhFmT5IYQQgghhBBCCCHMmk7tAEpTlSpVqF27ttphCCGEEBXKxYsXuXHjhtphmJTMKYQQQojSd685RYVKbtSuXZvw8HC1wxBCCCEqlKCgILVDMDmZUwghhBCl715zCtmWIoQQQgghhBBCCLMmyQ0hhBBCCCGEEEKYNUluCCGEEEIIIYQQwqxVqJobBcnOziY6OpqMjAy1QynzbGxs8PLywtLSUu1QhBBCiDJH5hQPTuYUQgghTK3CJzeio6NxdHSkdu3aaDQatcMps4xGI/Hx8URHR1OnTh21wxFCCCFM6quvvmLu3LloNBr8/PyYN28eNjY2DzWGzCkejMwphBBClIQKvy0lIyMDV1dXmYTch0ajwdXVVa5GCSGEKHdiYmL45ptvCA8P5/jx4+Tk5LB8+fKHHkfmFA9G5hRCCCFKQoVfuQHIJOQByfskhBBlh8FgJD41iyx9DlY6C1ztrdBq5e90Uen1etLT07G0tCQtLY3q1asXaRw5Vz4YeZ+EUI+cP0R5JckNIYQQwswYDEaiYpMZvzCc6IR0vFxsmTMyiEZVHWWCWgSenp68/PLL1KxZE1tbW7p160a3bt3uut/s2bOZPXs2AHFxcaUdphBCFJucP0R5VuG3pZSmxMREZs2apXYYQgghzFhSWjZnr6fkTUwBohPSGb8wnPjUTJWjM08JCQmsW7eOCxcucOXKFVJTU1m8ePFd95swYQLh4eGEh4fj5uamQqS3yZxCCFEU8alZBZ4/jlxOYN7eC/xxOo4riekYjUaVIxXi4cnKjVKUOxGZNGmS2qEIIYQwEwaDkcirt9gZdZ2dUXEcvpTAsvGt8yamuaIT0rl0M53Nx6/RJ8ATJ1vpQvGgtm3bRp06dfISFv369WPfvn0MHz5c5cgKJ3MKIURRZOlzCjx/5BjgnQ2RecfsrCyo5+ZAPTd76rs7UN/dgXpuDtRytcdKd/v6uGxxEWWJJDdK0dSpUzl37hwBAQE0aNCAYcOG0bdvXwCGDRvGoEGDSEhIICwsjKSkJGJiYhg+fDhvv/02AIsXL+abb74hKyuLVq1aMWvWLCwsLFR8RUIIIUpCUlo2f5yJY2dUHLtOx3EjRVmR4efpxORO9XGvZI2Xi22+CaqXiy1pWXr+b90JPtx0kt7+1RnSsiaBNZ2lvsF91KxZk/3795OWloatrS3bt28nKChI7bDuSeYUQoii0FloCzx/1Klix8E3u3D2egrn4lLybg9cuMnaiCt597XQaqhV2Y567g60q+9K0xouPLP0sGxxEWWCJDdK0ccff8zx48eJiIhg165dfPXVV/Tt25ekpCT27dvHggULWLx4MQcOHOD48ePY2dnRokULevXqhb29PT///DN79+7F0tKSSZMmsWTJEkaOHKn2yxJCCPGACrvCVdDqDIMRnGwt6dDQjY4N3ejQ0A03R+u8ceaMDCpwz/SGZ9qx9MAl1kfEsOpQNI2rOTKkZU36NpPVHIVp1aoVAwYMIDAwEJ1OR7NmzZgwYYLaYd2TzCmEEEWx7kg0n/T357XVx/KdP1ztrdFqNbg5WtOmnmu+x6Rm6jkXd0fS43oqZ+NSGNDcKy+xAbe3uIRNCs47XwlRmiS5oZJHHnmESZMmERcXx+rVq+nfvz86nfKfo2vXrri6Kn9U+vXrx549e9DpdBw6dIgWLVoAkJ6ejru7u2rxCyGEeDgFFXGbOTSQnVHXWbT/Ut7qDH8vJ57pVJ9HGrkTUMMZiwKufmm1GhpVdSRsUvBdiRI/Lyc+8vLjzV7ebDh6haV/XeLt9Sf4aLOs5riXd955h3feeUftMIpE5hRCiAex49R1Ptwcxf96eRd4/iiMvbUOfy9n/L2c8x2PTkgrcItLlj6nJMIX4r4kuaGikSNHsnjxYpYvX868efPyjv93wqnRaDAajYwaNYqPPvqotMMUQghhAjdSM+8q4jZ56WGmhTShTT3Xu1Zn3E/uFbbCOFjrGNKyJkNa1uTv6CSWHbzEuiMFr+aQPdPmT+YUQoh7iUvO5JVVR2lczZHhrWthY1n8bWjWOosCt7hcTkinkq0ljjayWrAiUnNOId1SSpGjoyPJycl5348ePZrp06cD4OPjk3d869at3Lx5k/T0dNauXUtwcDCdO3dm1apVXL9+HYCbN2/yzz//lGr8QgghHk5iWhbrj17hxRUR/BNf8BUu72qOfDukGf2be5XYMl4/Lyc+DPXjwJtd+KifH1Y6LW+vP0GrD7fx9bbTnLiSROisvQR/soPQWXuJik3GYJBK+WWZzCmEEA/KaDTy6qqjJGfo+WZIM5MkNgBc7a2YMzIILxdbQElsfDukGZ9uOUXorH1cuJFqkucR5iN3lapacwpZuVGKXF1dCQ4OxtfXlx49evDZZ5/h7e2dVwAsV8uWLenfvz/R0dEMHz48r6jZ+++/T7du3TAYDFhaWjJz5kxq1aqlwisRQghREIPByIkrt9gRdZ2dUdeJuJyIwQjOdpYMblGzwCtcVrrSK+Jof8dqjuMxSSw9cAmf6pWYuET2TJsbmVMIIR7Uwj//YUdUHO+ENKFhVUeTjVvYFsmXuzVi0tLD9Jmxh5nDAmnfQN3W2aL0FNZquLTmFJLcKGVLly7N+3daWhpnzpxhyJAh+e7j5eXF2rVr73rsE088wRNPPFHSIQohhHgIiWlZ/HHmBjujrvPH6ThupGQBd9fO0ECBRUBd7a1UidvXU1nNcfmm7Jk2VzKnEELcz+nYZD7YdJJOjdwY2cb0CcyCtki2rV+F9ZPbMX5hOKN+OsAbPb0Z266O1HqqANKz9KrOKSS5oZJt27YxduxYpkyZgpOTk9rhCCGEKMR/94662FoSee0WO6Pi7lqd0aGBGx0bKbUzqjjcfYWisCKgarKxLHjPdGmuKBHFI3MKIURBMrJzeG7ZESrZ6Ph0QNNSTS7UdLVjzaS2vLgigvd/OcnJq8l8EOprsi0xouy5fDONc3Gpqs4pJLmhki5duhS4v3X06NGMHj269AMSQghxl4I6nHw2wJ9Pt0QREZ2Iv6cTzzzagI6N3GjqVXBnkzvdrwioGnL3TJeVFSXi4cmcQghRkM9+jeLUtWTmjW6hyrnH3lrHd8Oa8/X2M3y9/Qzn4lKYPaI57pVsSj0WUbLOxaUwfO5f1K1ix3fDAvO2u5b2nEK15MbKlSuZNm0aJ0+e5MCBA3l7QP9ry5YtPP/88+Tk5DBu3DimTp0KwIULFxg8eDDx8fE0b96cRYsWYWUlEzEhhBCmU9De0VdWHePHUUG4OlgXuDrD3NyrrawQQgjz9MfpOH7cc4FRbWrRqbF6rZ61Wg1TujakcTVHXlp5lMdn7GH2iCCa1nBWLSZhWiev3mLEj39hNMKbvZrQuJp6cwrVuqX4+vqyZs0aOnToUOh9cnJymDx5Mps3byYyMpJly5YRGRkJwGuvvcaUKVM4e/YsLi4u/Pjjj6UVuhBCiArAaDSSkJpV4N5RB2tduUhs5MpdUeLpYoebo7UkNoQQwozFp2Ty0sqjNHB34PWe3mqHA0APPw9WT2yLpYWWgT/8SdiRaLVDEiYQcTmRwbP3o9NqWfF0G3yqV1J1TqFacsPb25tGjRrd8z4HDhygfv361K1bFysrKwYPHsy6deswGo38/vvvDBgwAIBRo0YVWCxLCCGEKIqUTD0v/BzBhfjUvBZ3uaQehRBCiLLKaDTy2uq/SUrLNmnbV1Pw9qjE+mfaEVjTmSk/H+XDTSfJkbbjZuuv8/EMm7OfSrY6Vj7dhnpuDmqHpF5y40HExMRQo0aNvO+9vLyIiYkhPj4eZ2dndDpdvuNCCCFEcZ24ksTj3+5hw9ErJKVmMWdkUF6CQ+pRCCGEKMuWHrjEtpOxvNajMd4eldQO5y6V7a1YNLYVI9vUYvYf5xkz/yBJ6dlqhyUe0q7TcYyad4BqTjasfKotNSrbqR0SUMLJjS5duuDr63vX17p160ryafOZPXs2QUFBBAUFERcXV2rPa2o9e/YkMTHxnvf5v//7P7Zt21ak8Xfu3Env3r2L9FghhCgPjEYji/68SOisfaRl6Vk2vjWDWtbMq0ex97VOhE0KplFVR9m2IcyazCmEKJ/OXk/hvY2RtG9QhSfb1i6dJzUYICUWEi8rtwbDfR9iaaHl3T6+fNTPj33nbhA6cy9nr6eUQrDCFLYcv8a4BQepW8WBn59qQzWnslMgtkQLihb1pJjL09OTy5cv530fHR2Np6cnrq6uJCYmotfr0el0eccLMmHCBCZMmABQaNHSssxoNGI0Gtm0adN97/vuu++WQkRCCFH+JKVnM3X1MTYfv0bHRm58MbAprv/W1CiLHU6EKAqZUwhRfmXpDTy//Ai2lhZ8MbBp6SThDQa4HgnLh0DiJXCuCYOXgbsPaO9/DX1Iy5rUd3fg6UWHCJ25l59Gt6B2FXspbl2GhR2J5uWVx/D3cmL+6JY42VmqHVI+ZXpbSosWLThz5gwXLlwgKyuL5cuXExISgkajoVOnTqxatQqABQsW0KdPH5WjLbovv/wyb1XL9OnTuXjxIo0aNWLkyJH4+vpy+fJlateuzY0bNwB47733aNSoEe3atWPIkCF8/vnngNLyLfc9qV27Nm+//TaBgYH4+flx6tQpQKlj0qZNG5o1a0bbtm2JiopS50ULIUQZEXE5kV7f7GZrZCxv9GzMT6Na5CU2hDA3MqcQomL64rcoTly5xacDmpZOq9XUeLgRdTuxAcrt8iGQ+A8YH6yWRovalVn/bDu6+LiTlWMgdNZegj/ZQeisvUTFJmOQmhxlxtK/LvHiiqO0qO3CorGtylxiA1RsBRsWFsazzz5LXFwcvXr1IiAggF9//ZUrV64wbtw4Nm3ahE6nY8aMGXTv3p2cnBzGjBlDkyZNAPjkk08YPHgw//vf/2jWrBljx44tdkzvbDhB5JVbxR7nTj7VK/H2400K/fmhQ4eYN28ef/31F0ajkVatWvHII49w5swZFixYQOvWrfPd/+DBg6xevZqjR4+SnZ1NYGAgzZs3L3DsKlWqcPjwYWbNmsXnn3/O3Llzady4Mbt370an07Ft2zbeeOMNVq9ebdLXLIQQ5sBoNPLjngt8vPkUVSvZsOLpNgTWdFE7LFFOyJxCCFFa9p69wQ9/nGdYq5p09alaMk+SlQr//AkXdsL5nXDtbxj9y+3ERq7ES3ArBub1hPqdoUFXqNsRbJwKHdrT2ZapPbzp/92+fK3Xxy8MJ2xSsKyeLAPm7j7P+7+cpFMjN74b3rxMFaq9k2rJjdDQUEJDQ+86Xr169XzLJXv27EnPnj3vul/dunU5cOBAicZYGvbs2UNoaCj29vYA9OvXj927d1OrVq27JiEAe/fupU+fPtjY2GBjY8Pjjz9e6Nj9+vUDoHnz5qxZswaApKQkRo0axZkzZ9BoNGRnSwEfIUTFk5Caxcsrj7L91HW6N6nKp/2blskrEEI8DJlTCFHxJKRm8dKKo9R1s+d/vXxMN3BONsQcVhIZF3bB5QNgyAYLK6jRCh79H1SqrmxFuTPB4VwTbF2gRkuIXA9HFoFWpzymfhcl2VHVFzT5t5vocwwFtl7P0ueY7jWJh2Y0Gvlm+1m+2naann7VmP5EM6x0ZXfzh2rJjbLoXldDSlvuxKQ4rK2VLKeFhQV6vR6At956i06dOhEWFsbFixfp2LFjsZ9HCCHMycGLN3lu2RHiU7J4J6QJI9vUQqORPb3CtGROIYQoaUajkTfC/iY+NZO5o4KxtXrAq+kGA6TFgT4LdFZg56YkG65HwvldSkLjn72QlQJowKMptJkMdR+BGq3Byu72OIOX3V1zw80bBi2AHD1EH4AzW+HsVtj+jvLl6PHvqo5ueas6rHQWdPdxY0LzSrjbabieZmT2oVvoZVuKaoxGIx9tPsXsP87TP9CLT/r7obMou4kNKOM1NyqC9u3bs3btWtLS0khNTSUsLIz27dsXev/g4GA2bNhARkYGKSkpbNy48aGeLykpKa/46vz584sTuhBCmBWDwcjMHWcZPHs/Vjotqye2ZVTb2pLYEOWGzCmEqFhWhkez+fg1Xu7WCF/Pwrd95JNbBHRuF5juq9xe/gsWD4Dv2sKvr8PNc+D/BAxaBK+eh6d2Qdd3oN6jtxMboBQNdfeBcdvghePK7Z3FRC10UKstdHkbnt4DL0VBn5nKKo7IDbBiJHxaF+b1xPXMamZ1tqT51oHUWNCS5lsHMqOzDXN3neW3E9dM/+aJezIYjPxv7XFm/3GeEa1r8dkA/zKf2ABZuaG6wMBARo8eTcuWLQEYN24cLi6F7/lu0aIFISEh+Pv7U7VqVfz8/HByesA/ZsCrr77KqFGjeP/99+nVq1ex4xdCCHMQl5zJiysi2H3mBo83rc6Hob442sg2FFG+yJxCiIrjwo1Upm04Qdt6roxvX/fBH5gWd3cR0LAJEDobfPspqzOcvB58PK0WHB6wzodjNWg2XPn6z6oOra0jrByZLy7LlcMY1juMHj8e4rXHGvNUh7pyQaIU6HMMvLrqGGuOxPDUI3WZ+lhjs3nfNUbjA5ayLQeCgoIIDw/Pd+zkyZN4e3urFFHRpKSk4ODgQFpaGh06dGD27NkEBgaWynOb4/slhKh4DAYj8alZZOlzyNQbeGdDJPvPx/NOSBOeaFHDbE7S5UVB519zJ3OK4jPH90uIsiA7x0D/7/bxT3wav77QgWpOD9Ed5eZ5+KbZ3cdfOA7ONUwX5MNKuAhfN73rsOGF4zy3KY6Nx64yoLkXH4T6Yq0rm8UszVnuvClTn0NMQjofbz7Fo43deebR+mVuznSvOYWs3DBDEyZMIDIykoyMDEaNGlVqkxAhhDAHBoORqNhkxi8MJzohHS8XWz4f2JRpIT7UqeKgdnhClCkypxDCPNyZtI9LycRCo+Hjfn4Pl9j4exVY2hVcBFRnZfqgH4albYFxabNS+HZIM+q7OzB92xn+iU/l++HNpWW7CRU0b/p2SDOaejmXucTG/UhywwwtXbpU7RCEEKLMik/NyjtBg1Jt/eWVRwmbFKxyZEKUPTKnEKLsK+jD5/QnAh68fXl2BmyZCofmQeBoeGIJ/DwsfxFQO7cSfQ33Zed2d3HSvt/D+mfQ1GzDC52nUc/NgZdXHqXvrL38OKoFDas6qhtzOVHQvOnZZUfMsg2vJDeEEEKUK1n6HGknJ4QQotwo6MPnCz9HPNiHz/hzsGIUxP4N7aZAp/+BRqsU/7yzW4pW5WKRdxYnzY3Lxhk8AmDft3AlgscHzqfGU20YvzCc/rP28e3QZnRs5K5u3OVAepa+3Mybyn7JUyGEEBWDwQApsZB4Wbk1GIo0jJXOAi8X23zHvFxssZI9ukIIIcxQkZP2x1fDDx3gVjQMXQldpikdTHKLgDrXUG7VTmzk+m9cOmvo9QX0/Q6iD8IPjxCgPce6ycHUqGzHmPkHmbf3AhWohKTJnYtL4VxcarmZN5WR32QhhBAVWkGt6a5HFinB4WpvxfQnAvJO1F4utswZGYSrvcr7iYUQQogieOikfXYGbHwRVo1RVkM8vQcadiuFSEtIwFAY+5uS/PjpMaqf+5lVE9vQxbsq72yI5M21x8nOKdoFkYos4nIiA77bx/y9F/huePNyMW+SbSlCCCHUV1BruuVDlOWpD9pi7l+pWXo+3XKKrwcHUK2SDVY6C1ztrdBqzasolhBCCAEQl5LBJ/39eW31sbyaG4V++Iw/BytHw7Vj0PY56Px/YFEOWp97NIUJu2D1WNjwPHYxh/h+8Kd89rsD3+08xz/xqcwa2hwnu3LwWkvBrtNxTFx8CFcHK6b18aVWZTvCJgWTpc8x63mTrNwoA7755hu8vb0ZNmyY2qGwdu1aIiMj1Q5DCFHR6LPyV0gH5Xt91kMP9cuxqxy4mIBWo8HTxQ43R2uzPEELURQypxCifIlPyWTMvHAW/XmRVU+3Ye9rnQibFEyjqo53n9tOhMEPjyjnzyE/Q7f3ykdiI5ddZRi2Ctq/BIcXop3fk9faOPD5wKYcuHCT0Fl7OR+XonaUZd7aIzGMnX+QWq72rH66LXWq2KPVanBztDb7eZMkN8qAWbNmsXXrVpYsWXLf++r1+hKNRSYiQghVGLKVyuh3cq4JRWhBtiL8MvXdHQio4Wya2IQwIzKnEKL8yDEYeeHnCG6mZfFs5wZUc7It+MOnPhN+eVlZseHeWNmG0ugx1eIuUVoLZTXKE0vgxhn4oQMDXM6xdHxrEtOzCZ21j31nb6gdZZk1d/d5Xvg5gua1XPj5qda4V3qIVsJmQJIbKnv66ac5f/48PXr04IsvvqBv3774+/vTunVrjh07BsC0adMYMWIEwcHBjBgxgri4OPr370+LFi1o0aIFe/fuBSAlJYUnn3wSPz8//P39Wb16NQATJ04kKCiIJk2a8Pbbb+c999SpU/Hx8cHf35+XX36Zffv2sX79el555RUCAgI4d+5c6b8hQoiK5+IeWPc89Jl1O8HhXBNCZsCmV+H6qQce6uz1FA5fSmRQkJfZ9WYXorhkTiFE+TJzx1l2n7nBOyFNaFLdqeA73TwPP3aFg3OgzTMwepNSkLO88+4NE3aAvRss6kuLmEWsm9SWqpWsGfnTAbYcv0pcciYxCWnEJWdiMFTsoqNGo5GPNp/k/V9O0sO3GgvGtKSSTTla1fMvqblxp81T4drfph2zmh/0+LjQH3///fds2bKFHTt28M4779CsWTPWrl3L77//zsiRI4mIiAAgMjKSPXv2YGtry9ChQ5kyZQrt2rXj0qVLdO/enZMnT/Lee+/h5OTE338rryEhIQGADz74gMqVK5OTk0Pnzp05duwYnp6ehIWFcerUKTQaDYmJiTg7OxMSEkLv3r0ZMGCAad8HIYQoSNQWWDkKnGuBW6P8LeDSEiAmHH7sBk8sgrqP3He4lYcuY6HV0LeZZykEL8Q9yJxC5hRCFMPeszf4attp+jXzZHCLQpIVketg3TPKKsfBy6Bxz9INUm1VGijzhnWTYev/USPmEKvHTOerP67iaGNJ6Ky9+WqUFLiVpwLIzjEwdfXfrD4czbBWNXm3jy8W5fR9kORGGbJnz568KyOPPvoo8fHx3Lp1C4CQkBBsbZUKttu2bcu3zPPWrVukpKSwbds2li9fnnfcxcUFgBUrVjB79mz0ej1Xr14lMjISHx8fbGxsGDt2LL1796Z3796l9TKFEEJxbAWEPa0UCRu2Cuxd8//coSqM2w5LBsLifhDyrVIxvRD6HANrDsfQqZE77o7la5mlEA9L5hRCmK/YWxk8v/wI9d0ceD/UV1mJaDAoxbf1WUodjWMrYev/wLM5DJgHLrXUDlsd1o4wcAHs+xa2vY3j9VNMfvwn+iw/ltc+NzohnfELwwmbFIybo7XKAZeutCw9k5ccZkdUHFO6NOS5zvXL9cpWSW7c6R5XQ9Rmb2+f92+DwcD+/fuxsbn/5P3ChQt8/vnnHDx4EBcXF0aPHk1GRgY6nY4DBw6wfft2Vq1axYwZM/j9999L8iUIIcRtB+bAplegdjsYskyZnBTEuQaM/RVWjIS1E+HmBej0RoG1OHadjiMuOZOBQV4lHLwQD0DmFCX5EoQot/Q5Bp5deoS0rByWTwjEzkp3u116blex3K2b3T+CFuOU1Y4VmUYDwc8pF0tWPYnLku70dplG197tcbfTcD3NyPs740jN1Feo5EZCahZjFhzk6OVEPgj1ZVir8p8Ak5obZUj79u3zCoDt3LmTKlWqUKlSpbvu161bN7799tu873OXmXbt2pWZM2fmHU9ISODWrVvY29vj5OREbGwsmzdvBpS9tElJSfTs2ZOvvvqKo0ePAuDo6EhycnJJvUQhREVnNMKuz2DTy9Coh7Jio7DERi4bJ+V+zUbAH5/CmglK8bT/WBkeTRUHKx5t7F5CwQthPmROIYR5+uy3KA5cvMlH/fyo7/7v+bGgdunrnwG//pLYuFPdR+CpPzA0DmFq94Y03zqQGgta0nzrQOb1tOdaUhqTlxwm6lr5/7sUk5jOgO/3cSLmFrOGBVaIxAZIcqNMmTZtGocOHcLf35+pU6eyYMGCAu/3zTffEB4ejr+/Pz4+Pnz//fcA/O9//yMhIQFfX1+aNm3Kjh07aNq0Kc2aNaNx48YMHTqU4OBgAJKTk+nduzf+/v60a9eOL7/8EoDBgwfz2Wef0axZMyn+JYQwLaMRfvsf7Hgf/AfDoEVg+YDbRywslW0pnf8P/l4Bi0Ih7Wbej+NTMtl2Mpa+AZ5YWsipTQiZUwhhfrZFxvLDrvMMa1WTPgF31I4yYbv0cs/JC4su/6ckf+5IBjmvG0U9u3R2nY6j+/Q/mLTkEKeu3VI31hJyOjaZAd/t4/qtTBaObcljvh5qh1RqNEajsdRLx65cuZJp06Zx8uRJDhw4QFBQ0F33uXz5MiNHjiQ2NhaNRsOECRN4/vnnAeWEPWfOHNzc3AD48MMP6dnz/gV0goKCCA8Pz3fs5MmTeHt7m+BVVQzyfgkhiiRHDxufhyOLoeVT8NjHoC1iEuLvVcoWFedaMGwFVK7Lj3su8N7GSH59oQONqt1nJYgodQWdf82dzCmKT94vIW67fDON3t/uoUZlW1Y93RYbS4vbP7x5Hhb2yZ/gcK6pFNN0qFr6wZZ1iZdhuu/dx1/4m0Sravy45wLz9l4kJVNPT79qPNe5AY2r3b2yzRwd+ucmY+aHY6XTsuDJlvhULx+v6073mlOocnnL19eXNWvW0KFDh0Lvo9Pp+OKLL4iMjGT//v3MnDkzX8GrKVOmEBERQURExAMlNoQQQqhEnwmrRiuJjUemQo9Pip7YAPAbACPXQ9oNmNsF46W/WBl+maZeTpLYEEUSFRVFQEBA3lelSpWYPn262mEJISqITH0Ok5cexmA0Mmto8/yJjWt/w4Ypd7dLH7wM7NzUCbis01ndfq9yOdeEG6dxvn6Ql7o1Ys9rnXju0fr8cfoGj03fzcTFhzh51bxXcmyLjGXonL9wsbNkzcS25TKxcT+qFBR9kCy9h4cHHh7KEhpHR0e8vb2JiYnBx8enpMMTQghhKpkp8PNwOL9DWa3ReqJpxq3V5t9OKgMwLnicuulP0TZknGnGFhVOo0aN8mpN5OTk4OnpSWhoqLpBCSEqjA9+Ocmx6CR+GNGcmq52t39w/RQs7As6a6hcL3+7dDu34l0oKM/s3JTkz50FWAcugD8+h6hfoOlQnLu9x4vdGjGmXR1++nclx+bj13isibKSwxwSAwaDkfjULLL0OdzK0DNr51kaVXPkp9EtqOJQcQqn3sksuqVcvHiRI0eO0KpVq7xjM2bMYOHChQQFBfHFF1/ktSgrCqPRWK5b4piKCjuYhBDmLD1BaeMac0i54tRsmGnHd60HY7cRPasPs3K+IT3DGYwvFthJRYgHtX37durVq0etWkUrviZzigcjcwohFBuOXmHhn/8wvn0dujepdvsH8edgYQhoLWDUBnCqrl6Q5karBXefu5NB/efC7s9h7zcQtQm6voNzs5G82K0RY9vV5ce9F5i35wJbTlyje5OqPNe5AU2qO6n9agpkMBiJik1m/MJwohPS8XKx5ctBTWni4YS9jVl8xC8RJZbu69KlC76+vnd9rVu37qHGSUlJoX///kyfPj2vyvfEiRM5d+4cEREReHh48NJLLxX6+NmzZxMUFERQUBBxcXF3/dzGxob4+Hg5yd6H0WgkPj7+gVrFCSEEyddgXi+4ehQGLTR9YuNfGVbO9Et9jUOOnbDd+S5snKLU9xCiiJYvX86QIUMK/JnMKUxD5hRCKM7FpTB19TGa13Lh1cca3/5Bwj+wIAQMemUbpms99YI0V1qtUo/EuYZyq9WClZ1SmHziXqjqCxueh5+6w7W/cbKz5MWuDdnz2qM837kB+87F0+ubPTy1KJyz15OJS84kJiGNuORMDAb1/8bHp2blJTYAohPSeXHFUdKyc1SOTF2qFBTN1bFjRz7//PMCC4oCZGdn07t3b7p3786LL75Y4H0uXrxI7969OX78+H2fr6DiI9nZ2URHR5ORkfHwL6CCsbGxwcvLC0tLS7VDEUKUZQkXlWW0KddhyFKo27HEnmrD0Ss8u+wIi8e0oN2l72DPl1C/Cwycf/8Ws6LUmEtB0aysLKpXr86JEyeoWvXeRfpkTlE8MqcQFV16Vg59Z+4lLiWTX55rh4eTrfKDpBiY1wMykmD0Rqjmp26g5ZXRCMd+hl/fVFaatp4IHafmzR2S0rOZt/cCBy7EM7lTA15bfSxvhcSckUE0quqIVqveKr2YhDSCP9lx1/G9r3XC08WugEeUH/eaU5TZNStGo5GxY8fi7e19V2Lj6tWrefU4wsLC8PUtoBruA7K0tKROnTrFilUIIcS/rp9U2rRmp8Oo9eBVcPLaVFaEX8bT2Za29d2g4dvgUltZvbHxJej8lnIn2ZssHtDmzZsJDAy8b2KjMDKnEEI8qLfWHef09WQWPNnydmIjOVbZipKeACPXSmKjJGk00HQwNOgG29+FP2fA8TXQ42PwDsHJ1pIXujTkWlI6A77/M98KifELwwmbFIybo3p1LbJzjHi52ObFBeDlYouVzuIejyr/VJnphYWF4eXlxZ9//kmvXr3o3r07AFeuXMnrfLJ3714WLVrE77//nle9fNOmTQC8+uqr+Pn54e/vz44dO/jqq6/UeBlCCCEMBkiJVdqu3TwPW15XroY8ubnEExtXEtPZc/YG/Zt73b560nwUjNkCzYbD/J5KK7i5XeB6pBKrEPewbNmyQrekCCGEqaw4eJlVh6J59tEGdGj4b8eT1Hil3eutqzBsJXg2VzfIisKuMjw+HcZuAztXWDESlg5SVqECOQZjvgQCKAmOLL162z+uJqUzbcMJPhvgj5eLkhjLXVHiam+lWlxlgarbUkqbuSyLFUIIs2AwKEmDO6uR95kFleuAk1eJP/2328/wxdbT7H61EzUq37EEMyVWSWgkXrp9zLmmknAphbjE3czh/JuamkrNmjU5f/48Tk73LyBnDq9JCFH2nLx6i74z9xJU24WFY1phodUoKzUWPA43zsCwVVCnvdphVkw5ejgwG3Z8oNQ76fAKcf5PEfrDwbtWSCyf0BovFbZ/pGXpGfTDn1yIS2Xjc+1xsNaRpc/BSmeBq72VqltlSotZbksRQghRxqXF3U5sgHK7bpJSnbyEGQxGVh6Kpk1d1/yJDVAqo9+Z2MiNLeEirB4H3iHg3VtJeAjxL3t7e+Lj49UOQwhRjiVnZDNpyWGcbC2Z/kQzJbGRcQsW94e4KBiyTBIbarLQQZtJ4NMHfn0dfn+PKsd+ZmXIN9zQ1sDZykBilhajnSsfbIzkvVC/Um25ajAYeXnlUU5cucWPo4KoU8W+1J7bXMgGZCGEEA/PkANpNwtOIuizSvzpD1y8yaWbaQwMKmAlhs7q7sSFc02wtFMmkb++DtP9YHZH2P2l0m5PCCGEKEFGo5Gpq//m0s00ZgwNVOo1ZKUqWyCuHoWBC5SC2EJ9Tp5Kp7dhq9C4NsTDOgu/zf2osaAlfpv74WMRQ0JaJmPmHyQ1s/Q6tE3fdppNf1/jjR7ePNq4aLWhyjtJbgghhHhwRiNEbYHv20H82YKTCLqS3++5MjwaB2sdPXw97v6hnRsMXnY7NueayvceATBpHzx7GLpMAzSw/R34NhBmtYEdH0HsCeU1CiGEEMVkMBjzWohGXr3FlcR0XuneiJZ1KiuFt5cNhst/Qf+50Lin2uGK/2rQFXp/DuufybdKVbdiKN+H1uLElVs8vfgQWfqSr+m1/ugVvvn9LAObezGuvRSuLoxsSxFCCPFgLv0F296GS39C5bpg5aAkDe6suTF4mZJcKEEpmXo2/X2Vvs2qY2tVQFVwrRbcfZTtMfqsu7uluNaDdlOUr8TLcGojRK6HXZ/Aro+V1+YdAj4hUD1QSXakxRU8lhBCCFEAg8FIVGwy4xeG57UQ/XJQUwJruIA+E34eARd2Q+gP0CRU7XBFYXL0Ba5SdbYy8lGoH6+uPsZrq4/xxcCmJVbvIuJyIq+sPEqL2i68H+qLRlP+62oUlSQ3hBBC3FtclNIm7dRGsHeHXl9C4EiwsFSKihaWRCghvxy7Qnp2DgODahR+J60WHB5gyaZzDaW3feuJkHL9dqLjzxmwdzo07KEkQdaMy5/AcfeRBIcQQohCxadm5SU2QOmw8eKKo4Q91RK3LU/B2a3w+DfQ9AmVIxX3lLvV9b9FyjUaBrXw4npyBp//dhp3R2te7+lt8qe/lpTBhIXhuDla8/3w5lhX8Fav9yPJDSGEEAVLioGdH0HEErC0h0f/B60ngdUdBaweNIlgQivCo6nnZk+zGs6mHdjBHYLGKF9pN+H0FnCqeTuxAcrt8iFKQqeUX7cQQgjzkaXPuauF6JWEVOw3TYLTG6HHZ0r7clG25W51vXOVasgM2PYu9PyUyZ3qcz05kx/+OI+bozXj2tc12VOnZ+UwfmE4qZl6Fo0NxrUUi5eaK0luCCGEyC89AfZ8BX/9AEYDtJoI7V8Ce1e1I+NcXAqH/kng9R6NS3ZZpl1lCBiqbFspqGhqeqKyikWWhgohhChAalYOXi62eQkODQZm2s/F7vRO6PoetJqgboDiwRS01TXhIpxYA4n/oBkRxtuPN+FGSibv/3ISN0dr+gR4FvtpczujHL+SxNyRQTSq5lj811IBSHJDCCGEIjtdSWjs+VLpKuL/BHR6A1xqqR1ZnpXh0VhoNYQGFn/i8EAKW4564zSsfw66vgs1W5VOLEIIIco8g8HI9G2n2X3mBj8Ma4Yh9QbOVgbsM69TeU8KhvpvoA1+Tu0wxcP47ypVh6rQfw6sfBJWjMRi8FK+HBRAfMoBXl55lMr2VrRvULz6Y19vP8Mvf1/ljZ6N6ewtK0UflGwYFkKIisZggJRYZVVCSizos+HwQvgmUCkYWqMVPL0H+v1QphIb+hwDaw5H06mRG+6ONqXzpAV2XlmqrGhJuAA/dYPlwyDudOnEI4QQosxKydTz9OJDfPP7WTo3qoKPLjqvhWjlLZMwdv8IbYeX1Q5TmEKTUHh8ulI7Ze3T2FjA7JFB1HNz4OlFhzgek1TkoTceu8LX288wsLkX4024zaUikJUbQghRkRgMcD0y/97Rvt/B4QVQqbpyJaJ2O7WjLNDuMze4npzJgOb3KCRqaoV1XqnmB/W7wJ+zYO/XENUKmo2Ajq9DpQLa0wohhCjX/olPZfzCcM7FpfJ/vX14MsAOzdwu+Wo2aVaPlZpN5Unz0co21W1vg40zTr2+YMGYlvSbtY/R8w6wemJbarna32+UfI5eTuSlFdIZpahk5YYQQlQkaXG3Exug3K6dCCEzlQlXGU1sAKwIv4yrvRWPNnYv3SfOXY7qXEO5ze2SYmUPj7wCz0dAywkQsRS+aaZ0lsko+hUbIYQQ5mXv2Rv0mbmX2FuZLHiyJWPa1UGTcavgmk36LHWCFCWj3QsQ/AKE/wi/v0/VSjYsGNOSHIORkT8d4EZK5gMPdS0pg/ELw6niYM130hmlSCS5IYQQFYk+q+DJlpV9mS6OeTM1i20nY+nbzBMrXRk7ddlXgR6fwDMHwbs37P4Cvg5QVnXoH3xSI4QQwrwYjUbm7b3AyJ8O4O5ozfpngmlXxxF++x/Enbq9pTGXc01lBaAoX7pMg8BRsPtz2Pct9d0d+HF0C2JvZfDkvIOkZOrvO8SdnVF+HB1EFemMUiRlbIYohBCiZBnNcrK19kgM2TlGBgWV4paUh1W5DvSfCxN2gYc//Po6zAiCYyuU7UBCCCHKjUx9DlNX/807GyJ5tLE7ayYFU8sQDXM7w75v4cZZpUZTvppNy5StjaJ80Wig91fg01dJbB1eRGBNF2YNCyTy6i0mLj5Elr7weYDRaOTlVUpnlK8HN6NxtUqlF3s5I8kNIYSoKJKiYfPr0GemWU22jEYjK8Iv4+/lZB6t0KoHwMh1MCIMbJxhzXiY3QHObr+7mKskPYQQwuxcT85g6Jy/+Dn8Ms8+Wp8fhgXicHQe/NABbl2BIcuh/RRwb6Js+XzhuHLr7nN7a6MoX7QW0G8O1HsUNjwHket5tHFVPurnx+4zN3h11VEMBmOBD/16+xl+OXaV1x5rTBcfqcdSHFJQVAghKoJbV2FBCKTGQec37y6QWYYnWyeu3OLUtWTe6+urdigPp96jUKcjHF8Nv78LOz8ES1sIe+p2MdfBy2SyK4QQZuRYdCJPLTpEYlo2M4cG0quuDpYPhjO/KoWm+8wCx38/oP63hago33RW8MRiWNgXVo8Fm5UMCupIXHImn/0ahXslG97o6Z3vIb8cu8r0bWfoH+jFUx2kM0pxSXJDCCHKu5TrsDBEWSkwIkz5MG1GVoZfxkqnJcS/utqhPDytFvwHgk8IxEXBz8PyF3NdPkQq5wshhJlYFxHDq6uOUcXBmlUT29Ak5S/4bhJk3IIenyrFpctw/SpRCqzsYdgKmNcLlg2FUeuZ1LE5129lMPuP87g7WjPu3/auf0cn8dLKCIJqufBhP+mMYgpyqUgIIcqz1BvKio2kaBi2Emq0VDuih5KRncPaiCt0b1INJztLtcMpOp012LpI5XwhhDBDOQYjH28+xfPLI2haw5n1TwXS5Mh7sHQg2LvDhJ3Q6ilJbAiFrQuMWAMObrBkAJq4U/zf403o5efBL8euEnUtmUvxqcQlZ9C+fhW+HyGdUUxFVm4IIUR5lXZTWRqZcAGGroBabdWO6KFtOxlLUno2g4K81A6l+HRWylaUOxMcZlDMVQghKrJbGdk8v+wIO6LiGNaqJtNaGLBc2l3phtJ6MnT+P7C0UTtMUdY4VoMRa+Gnx2BRKBZjtvDFQH+OxiQxdsFBohPS8XKx5fvhzalsJ/MAU1Fl5cbKlStp0qQJWq2W8PDwQu9Xu3Zt/Pz8CAgIICgoKO/4zZs36dq1Kw0aNKBr164kJCSURthCCGE+0hNhUSjciFKqtdd9RO2IimRFeDTVnWxoW6+K2qEUn52bUmPjzmKu/WaX6WKuQghR0RgMRuKSM4lJSOPyzTSmrj7G7jM3eL+PDx9U3YnlvC7KOXb4GnjsQ0lsiMJVrqNsB85Oh4V9Sbl5hZdWHCU6IR2A6IR0nl58iPhUWcFpKqokN3x9fVmzZg0dOnS473137NhBREREviTIxx9/TOfOnTlz5gydO3fm448/LslwhRDCvGTcgiUDIPaEUtiqfme1IyqSK4np7D4Tx4DmXlhoy8FSX61WqXeSWzl/4AKlZdzFP9SOTAghBEpiIyo2mdBZewn+ZAdD5uxneOtarB9Vl+Gnn1f+ZjfoBhP3me25VZSyqj4wbBWkXMdp1RPcSojL9+PohHSy9DkqBVf+qLItxdvb+/53uod169axc+dOAEaNGkXHjh355JNPTBCZEEKYucwUWDoIrhxRPjw37K52REW25nA0RiMMaF5D7VBM587K+fZVlK1DG19UJspy9U8IIVQVn5rF9K2n+Lp3ddztNFxPM3Lwjw1MiH0HcjLh8W8gcKTU1hAPp0YLGLwY3ZJBrKn/K8ltXqGKnZbraUZmH7qFldTbMJkyXXNDo9HQrVs3NBoNTz31FBMmTAAgNjYWDw8PAKpVq0ZsbKyaYQohRNmQlQbLBsPlv2DAT+DdW+2IisxoNLLyUDSt61ampqud2uGUDEtb6PUlLOoLe76ETm+oHZEQQlRYRqORjKxsPgzW4bphICReooZzTZqHzCD7cHe0HV+BKvXVDlOYq3qPYhy6knpaLZr1g/J+v2YOWorWrkx/JDcrJbYtpUuXLvj6+t71tW7dugceY8+ePRw+fJjNmzczc+ZM/vjj7qW7Go3mnm1zZs+eTVBQEEFBQcTFxRV6PyGEMGvZGbB8KFzcA6GzoUmo2hEVy4ELN/knPo2B5WnVRkHqdQK/QbDnK4g7rXY0QghRIV28kcqoeQdxyEnEdcOo/C271z8DXd6WxIYoNm01HzTrn8n3+6VbMRRt+g11AytHSixNtG3btmKP4enpCYC7uzuhoaEcOHCADh06ULVqVa5evYqHhwdXr17F3d290DEmTJiQt+LjzqKkQghRbugzYcUIOL8D+swC/4FqR1RsKw9F42Cto4dfNbVDKXndP4Azv8LGKTB6oyx3FkKIUpKRncP3u84xa+c5rCy0WONWYMtuHVITQZiAPktawpcwVQqKPojU1FSSk5Pz/v3bb7/h6+sLQEhICAsWLABgwYIF9OnTR7U4hRBCVTnZsPJJOPMb9J4OzYapHVGxpWTq+eXYVXr7e2BnVQGWajq4Q9d34Z89cHSZ2tEIIUSF8MfpOB6b/gfTt52he5Nq/P7SI9hpsm53tMrlXBONtOwWppDbEv5OzjXBaFAnnnJIleRGWFgYXl5e/Pnnn/Tq1Yvu3ZWCd1euXKFnz56AUlejXbt2NG3alJYtW9KrVy8ee+wxAKZOncrWrVtp0KAB27ZtY+rUqWq8DCGEUFeOHlaPhahfoOfnEPSk2hEVS277vSsJ6UwfHMDItrXUDqn0NBsJNVrDr29Carza0QghRLl1LSmDyUsPM/KnA2g0GhaNbcm3Q5rhfj4M1j0Dfb/L37J78DJp2S1Mo6CW8H1mwvrn4IJ0TjMFjdFoNKodRGkJCgrK11JWCCHMliEH1kyA46ug+4fQZrLaERVLbvu98QvDiU5Ix8vFljkjg2hU1RFteWgD+yBiI+GH9uA/GPrOVDsakyqP59/y+JqEKM/0OQYW/PkPX209TVaOgWc61WdCh7rYWFrAvm+VNq91OsATS0GfpmwV0FkpH0i1ZXaxuzA3BgOkxd3+/crRw+J+EH9WWYEbOELtCMu8e51/5f9UIYQwNwYDrJusJDa6TDP7xAbAjZTMvMQGKH3fxy8MJz61Au1DreoDbZ+FiMVKYVghhBAmceifBB6fsZf3NkbSvJYLW6d04LnODbDRaeG3t5TEhk9fGLYKbByVlt3ONZRbSWwIU8ptCZ/7++XkCWN/UxJr65+Brf+nzPNEkVSAzcxCCFEO3JnpvxUD8Weg05vQborKYRmJT80iS5+Dlc4CV3uru1ZaGAxGbqRmciUxg6uJ6VxJyr1NV44lpfPN4GZ5iY1c0QnpZOkrWBG3Dq/C8TVKcdGn94DOWu2IhBDCbCWkZvHpr6dYduAy1SrZ8N2wQB7zraZ0WszRw4bnIGIJBI2Fnp+B1kLtkEVFZOMEQ1fC5ldh79cQfw76zQYre7UjMzuS3BBCiLLOYIDrkbB8iFJV27km9P8RPNXtAFXQVpJvhzTjeEwihy8lEZOYztWkdK4lZZCdk38HpI2llupOtng429C+gRs2lhZ4udjmS3B4udhipatgE00rO+j1BSwZAHu/gUdeUTsiIYQo8/6baHextWRNRAwfbz5FUno249vX4fkuDXGw/vejT1YarHoSTm+Bjq/DI69JpyqhLgudcv6v0gB+fQPm9YAhP0MlD7UjMyuS3BBCiLIqRw/XjoJGByuG5+uLzuqxMG6bsqRRBddvZRCfmnXXVpJnlx3hrd4+HLhwgerONjSr4YKHnw2ezrZ4ONni4WRDdWdbXOwslStn/zIYjMwZGXRXzQ1X+wpYob5BV2gSCn98Br79wLWe2hEJIUSZVVCi/YuBTVn21yXqVLHn/b6+eHtUuv2A9ARYOhgu/6UU4245Xr3ghbiTRgOtJ0LlurBqDMx5FIYuB4+makdmNiS5IYQQZUVONlyJUFqCXtwDl/6CrGQY/YvqfdH1OQYOX0pkZ9R1dkbFEXn1Fj9PaF3gVhLf6pXYO/XRhxpfq9XQqKojYZOC77nFpcJ47GM4ux1+eRFGrJUrikIIUYiCEu0vrTxacFHqW1dgcX+4cQYG/KQkkIUoaxp2hzG/wtIn4KfHlNW6jXuqHZVZkOSGEEKUlP9WxP5vxXV9Flw5DBd3w8W9cPkAZKcqP6vSCPwHQq1gcKmtbEW5M8HhXFMZswRdv5XBztNx7IqK448zcSRn6LHQamhe04VXujeimpONSbeSaLUa3BylxgQAjtWg8//Bppfh75XgP0jtiIQQosxJzdSTkJZVYKK9ko0uf2LjxllYFArpN2H4KqjbsXSDFeJhVPOF8dth2RBYPhS6vQdtnpGLHfchyQ0hhCgJBdXJGLwUDHo4/ZuyOuPyQdD/OyFz94GAoVA7WEloOLjnH2vwsv+MtUxJlhQptIKLgBa0OgPA3dGaHr7V6NjIneD6VXCytcwbR7aSlKCgMXB0ubL3tn4XsKusdkRCCKE6fY6BvefiCTscza8nYpk+OOD+ifaYw0otIzQweiNUb1b6gQvxsByrKat31z6tdPS5cUapy2FhqXZkZZYkN4QQoiSkxd1ORoByu3wodP8Qdn4EVX2h+WglmVGzLdi7Fj6WVovBzZucJ7eiycnCaGGFhYMb2iK0pytob/KMoYH8duIqi/Zfur06o5YLrz7WiI4N3fH2cMxXH+N2WLKVpERpLeDx6fDDI7BtGoR8o3ZEQgihCqPRSOTVW4QdjmHd0SvEJWdSyUZH32aeeYn1QhPt53bAz8PBtjKMCIMq9dV9MUI8DCs7GDAfdrwPu7+AhIswaAHYuqgdWZkkyQ0hhCgJ+qyC62RUaQivXXiok5LBYCTqeirjF0bmm7jduZc4x2AkJVNPckY2yRn6fP/O/UrJzKZz46o8t/xIvr3Jzyw9zLshTYhPyaZjIzeCG1Shks2DXRWQrSQlrJoftJkE+75VVvbUbK12ROVWYmIi48aN4/jx42g0Gn766SfatGmjdlhCVGhXk9JZF3GFsMMxRMUmY2mhoWMjd/o186RTY3dsLJXVGQaDseBE+/E1sGaCcu4dvlo6TwjzpNUqW1Vd68P652BuVxi2Qik8KvKR5IYQQpQEnVXBdTJsnR86215QsbTxC8P5oK8vr64+RkqGntSsnPuOY6HV0LGhe4F7kxtVc+RRb3U6r4j76Pg6nFgLG16Ap/4o8VorFdXzzz/PY489xqpVq8jKyiItLU3tkIQo1wrbIpmSqWfz31cJOxLDn+fjMRohsKYz7/X1pbefBy4FbH0sMNF+YA5sekVJCg9Zrpx/hTBnAUPBuRb8PAzmdIaRa5WtK4XVdquAJLkhhBAlwdYV+n6v7JMsZp2MLH1OgQkJF3srHmnohqONJQ7WOhxtdFSyscTBRvm3csySSjY6HGx02FpacCMly6RFQEUpsLKHnp/BssHw5wxo/6LaEZU7SUlJ/PHHH8yfPx8AKysrrKwkiSRESSloi+SsYYFsPXGNOXsukJFtoJarHc892oDQZp7UrmJ/vwHzF/A+tUkpyNywBwycB5a2pfPChChptYNh3HbY/i6kJypbru6cZ7r7VOgEhyQ3hBCiJBxZBBGLYcjPYO1YrIy6pU5bYELCw8mWTwc8XO9zV3srKQJqjhr1AO/HYden0CQUKtdRO6Jy5cKFC7i5ufHkk09y9OhRmjdvztdff429ff4PVLNnz2b27NkAxMXFqRGqEOVCQSsSJy05zLSQJgxonk1oM08Ca7oUWO/pLgUV8A6ZAR3fVJLBFvJxR5QzrvXgsY/gp+7/qe02BMZtA4eKuxK34qZ1hBCipKTGw/Z3QGcL7t7gXEM50RQxk/77yet80t8fLxflylNxEhJ3FgHd+1onwiYF56vdIcqwxz5RioxuehmMRrWjKVf0ej2HDx9m4sSJHDlyBHt7ez7++OO77jdhwgTCw8MJDw/Hza1o3YqEEIWvSGxczZH3+/rRvFblB0tsQMEFvNc/A0GjJLEhyi9DTsG13fRZ6sRTRkhyQwghTG37NMhMVrYSFLMf+faTsbwe9jcHL8QTNqmtSRISuXuTPV3scHO0lsSGuXDyhEffgrPb4ESY2tGUK15eXnh5edGqVSsABgwYwOHDh1WOSojyy0pnkZewz+XlYot1UbZIFlbAu4J/yBPlXG5ttzs516zwdbkkuSGEEKZ0+SAcXgitJyqrNorhfFwKLyyPwMejEk93rI+bo40kJCq6luPBIwC2TFX22gqTqFatGjVq1CAqKgqA7du34+Pjo3JUQpRfRqORTweYZkWifMgTFZKdm1JjI/d3P3c71j/71I1LZbJWSwghTMWQA7+8CI4e8MhrxRoqJVPPU4sOobPQ8MOI5nnt7kQFp7WAx6fDnEfh9/eg1xdqR1RufPvttwwbNoysrCzq1q3LvHnz1A5JiHIpx2DkueVHwAjLx7dGoyF/+9aHZeMCfb+DtROLXcBbCLOh1SrFQ8dtU1YpWVjCvhnw57eQna50VqmAJLkhhBCmEv4TXDsGA+YpRUSLyGg08srKo5yLS2HR2FZ4udiZMEhh9qo3g5ZPwV/fQ9Mh4BWkdkTlQkBAAOHh4WqHIUS5N2f3efafv6ms3KhsgvPbvq/h9BYYulLpLiUtMUVFodXmLx766P8g9m9YN1npENQkVL3YVCL/1wshhCmkxClX0us8UuyTyXe7zrH5+DVe7+FNcP0qJgpQlCuPvgkNukNGknKlMiVW6RgghBBl2N/RSXzxWxQ9/aoxsLlX8Qe8fkrpIlXJC9wbF7uAtxBmzdIGBi8Fr5awehyc/lXtiErdA/2ff+3aNdavX8+GDRu4du1asZ905cqVNGnSBK1WW+hVkqioKAICAvK+KlWqxPTp0wGYNm0anp6eeT/btGlTsWMSQohi2fY2ZKVBz8+LVUR0Z9R1Pvs1isebVmdce2n3KQphaQ8dX4ONL8B0P5jbRWmFKAkOwPTzFiFE8aVl6Xl++RFc7a35MNTvwbuhFMaQo3RFsXJQCngLIZTVS8NWQFVf+HkEnN+ldkSl6r7Jjblz59KyZUvWrFnDqlWraN26NT/99FOxntTX15c1a9bQoUOHQu/TqFEjIiIiiIiI4NChQ9jZ2REaevtq6JQpU/J+3rNnz2LFI4QQxXJpP0QsgbbPgFvDIg/zT3wqzy07QqOqjnzS3wQTP1F+pcXBylF397e/fgLiTlfoVrElMW8RQhTfextPciE+lS+faIqznQmKff71PUQfhB6fgIN78ccTorywcYIRYVC5LiwbApcPqB1RqblvzY3PPvuMI0eO4OrqCkB8fDxt27ZlzJgxRX5Sb++H6yCwfft26tWrR61atYr8nEIIUSJy9PDLS8qS2A6vFHmYtCylgKhGo2H2iCDsrKQkkriHwlofZiTB/F7gUA3qtIfa7ZVblzrFbktsLkpi3iKEKJ5fT1xj2YFLPPVIXdrWM8F2y5vnYft70PAx8BtY/PGEKG/sKsPItTCvByweAKM3gEdTtaMqcfddueHq6oqj4+3CeI6OjnkThtKyfPlyhgwZku/YjBkz8Pf3Z8yYMSQkJJRqPEIIkefgXIg9Do99qCwFLAKj0cirq44RFZvMN0OaUdNVCoiK+yis9aFTTXj8a6jdTlmKuuE5+KaZsnUlbCJELIWk6LvHMxiUuh2Jl82+fkdZmLcIIW6LvZXB1NXH8PWsxEtdGxV/QIMB1j+ndIfo/VWFSdwK8dAcq8HI9WBTCRaFQlyU2hGVuPteGqxfvz6tWrWiT58+aDQa1q1bh7+/P19++SUAL774YoGP69KlS4H7XD/44AP69OnzwAFmZWWxfv16Pvroo7xjEydO5K233kKj0fDWW2/x0ksvFbrkdPbs2cyePRuAuLi4B35eIYS4r+RY2PEB1OsM3iFFHmbu7gtsPHaVVx9rxCMNpXWdeAC5/e2XD8nf+tDJC5qPVr6MRrhxGi78oXyd3gJHlyqPd6kDdTooX3U7QvK1u8dy9zHLonxFnbcIIUzPYDDy8sqjpGfn8PXgZljpTPA35fB8uLhbSeRWql788YQoz5xrwMh18NNjsCAExmxWtquUU/dNbtSrV4969erlfZ+bmEhOTr7n47Zt21bM0BSbN28mMDCQqlVvt7m589/jx4+nd+/ehT5+woQJTJgwAYCgIGmXJ4Qwoa1vgT5DKWRWxCtHe87c4KPNJ+npV42Jj9S7/wOEgLv72xfU+lCjAbdGylfL8crVzusn4MJu5YPBibVweAE8sRh+fePu+h3jtuVvMWcmijpvEUKY3k97L7D7zA0+DPWjnptD8QdMiobf/k/pTBY4qvjjCVERuNZTEhzze8KCPjBmCzh5qh1VibhvcuPtt98ujTgKtWzZsru2pFy9ehUPDw8AwsLC8PX1VSM0IURFdnEvHPsZ2r+snDSK4PLNNJ5ddpj67g58NqCpFBAVD+e//e0f5P7V/JSvNpOUTgNXj4LOuuD6Hfos08ZbStSetwghFCeuJPHplii6+lRlSMsaxR/QaIQNL4AxB0K+ke0oQjyMqj5KkdEFIbAwBJ7cXC4L8d53bVh4eDihoaEEBgbi7++f91UcYWFheHl58eeff9KrVy+6d+8OwJUrV/J1PklNTWXr1q3069cv3+NfffVV/Pz88Pf3Z8eOHXz11VfFikcIIR5KTrZSRNSpJrR/qUhDZGTn8PTiQ+gNRn4YEYS9tRQQFaVMawGegWBfpeD6HToTdDNQQUnMW4QQDyc9K4fnl0fgbGfJJ/39TZO8P/YznN0Knd8Gl9rFH0+IiqZ6Mxi6ApJilBocaTfVjsjk7jubHjZsGJ999hl+fn5oTbT3NjQ0NF9b11zVq1dn06ZNed/b29sTHx9/1/0WLVpkkjiEEKJI/voB4k7C4KVg9fDFP41GI6+v+ZvIq7f4cVQQdaoUrRCpECZRWP0OO/Os/1IS8xYhxMP5aPNJzl5PYdHYllS2N0GiNDkWNr8GNVpBywnFH0+IiqpWGxiyFJY+AUsGKNtVrB3v/zgzcd/khpubGyEhRS+UJ4QQ5cqtq7DzI2jQHRr1vP/9CzB/30XCjsTwYteGPNrY/GoaiHLmQep3mBGZtwihru0nY1n45z+Ma1eH9g1MlCTd9DJkp0PIDLP92yREmVHvURi4AH4eriQ5hq0q0sW6sui+yY133nmHcePG0blzZ6ytrfOO/3eriBBCVAi/valsS+nxcZH2++4/H8/7v5ykq09VnulUvwQCFKIIHrZ+Rxkm8xYh1HM9OYNXVx2jcTVHXnnMBG1fQSl+fHK9sh3FraFpxhSiomvcE/rNhtXjYMUIZTWyzvr+jyvj7pvcmDdvHqdOnSI7OztveadGo5FJghCi4jm/C46vhkemFqmN1pXEdCYvOUwtVzu+HNQUrVaKoQlhajJvEUIdRqORV1YeIyVTz/IJrbHWWRR/0LSbyqoNj6bQ9rnijyeEuM1vAGSnwfpn4fcPlGLjOdlmvYLzvsmNgwcPEhUVVRqxCCFE2aXPgk2vKEXM2r3w0A/PyM5h4uJDZOoNzB4RhKONpclDFELIvEUItSzYd5Fdp+N4r08TGlQ10R7+LVMhPUHp8mAhhbeFMLnAkWBpB/Zu8GPX/LW33H3MLsFx32jbtm1LZGRkacQihBBl1/5ZcCMKenwKlrYP9BCDwUhcciYxCWkcj0lCq9HwxaCm1Hd3KOFghai4ZN4iROmLupbMh5tP8Whjd4a3rmWaQU//pnRIafei0sJaCFEy6rSH9c/cbgufeEkpMp4Wp25cRXDfFOj+/fsJCAigTp06WFtbYzQa0Wg0HDt2rDTiE0II9SVFw65PlQKiDbs/0EMMBiNRscmMXxhOdEI6Xi62fDO4GQE1nEs2ViEqOJm3CFG6MrJzeH75ESrZ6Ph0gInavmYkwcYXwM0bOrxc/PGEEIXTZ91ObORKvKQcNzP3TW5s2bKlNOIQQoiy69c3wZgDj338wA+JT83KS2wARCek89zyI4RNCsbN0fwLNglRVsm8RYjS9emWKE5dS2beky2o4mCi89vW/4PkqzBoUbkocihEmaazUrai3JngcK6pHDcz992WUqtWLS5fvszvv/9OrVq1sLOzw2AwlEZsQgihvrPbIXIttH8ZXB58qW2WPicvsZErOiGdLH2OiQMUQtxJ5i1ClJ6dUdf5ae8FRretTadG7qYZ9PwuODQf2kwGr+amGVMIUTg7N6XGhnNN5XvnmtBnFuhs1I2rCB6oFWx4eDhRUVE8+eSTZGdnM3z4cPbu3Vsa8QkhhHr0mbD5VaUzSttnH+qhVjoLvFxs8yU4vFxssTJF9XghRKFk3iJE6YhPyeTllcdoVNWRqT0am2bQrFSlc0PlutDxDdOMKYS4N61WKR46bpuyFSUnC8ImgoMbPLEYTLHVrJTcd+VGWFgY69evx97eHoDq1auTnJxc4oEJIYTq9n0L8Wehx2dg+XDZa1d7K2YMDcTLRSk+6uViy5yRQbjam98SPyHMicxbhChZSrHsDKIT0vkw1JfvRwRiY2mixP3v70PiPxAyA6zsTDOmEOL+tFpwqArONcC1HviEwKmN8OcMtSN7KPdduWFlZYVGo8krDpSamlriQYnyyWAwEp+aRZY+ByudBa72Vmi15pMJFBWEwaBUh85KA3dvCH4BGnR56GG0Wg0rDl7i/b6+NHB3kN95IUqJzFuEKDkFFcueMzIIg8FY/PPb5QOw/ztoMQ5qB5smYCFE0bSZDJf+hK1vg2cQ1GqjdkQP5L4rNwYNGsRTTz1FYmIic+bMoUuXLowfP740YhPlSO7JMHTWXoI/2UHorL1ExSZjMBjVDk2I2wwGuB4Jc7vANwGwZSr49leOP6SLN1JZeuAyJ67cwtPFDjdHa0lsCFEKZN4iRMkpqFj2+IXhxKcWs6tCdgasmwxOXtBlWvEDFUIUj0YDfWcp9TdWPQkp5tEW9r7Jjbi4OAYMGED//v2Jiori3XffJTo6ujRiE+VIiZ0MhTCltDilr/edfb5/HlakPt+rDkWj1UD/QC8TBymEuBeZtwhRclIz9aYrlm0wQEosJF6G6yfAphI8Ph2sHU0TrBCieGycYNBCSLsJq8eCoewXxb/vtpStW7fyySef0LVr17xjL730Ep988kmJBibMn9Fo5FxcCjtOxdGijot0jhBln4n6fOcYjKw+HE2Hhm5UczK/StNCmDOZtwhRMi7fTON8XIppimXnrpTMvaDgXBP6zQGvliaOWghRLB7+0OtzpdDvrk+gU9ku9FtocuO7775j1qxZnD9/Hn9//7zjycnJBAfLPjhRsNRMPfvOxbMz6jo7o+KISVROfguebCGdI0TZl5Nlkj7fe87e4GpSBv/r5WPiAIUQhZF5ixAl5/qtDIb/+Bc1XGz5fnhznl58KF/NjYcull3QSsk145VuDQ5VTf8ChBBF12wEXNoPuz6FGi2h/sPXoisthSY3hg4dSo8ePXj99df5+OOP8447OjpSuXLlUglOlH1Go5Gz11PYGRXHztPXOXghgawcA/ZWFrStX4VJnerRsZE7HpVsmDMy6K4CVNI5QpQZsSdgy+tKX+91k25fSRq8TOn//RBWhl/G2c6SLj7uJRSsEOK/ZN4iRMlITMtixI8HiEvO5KsnAvDxqETYpODiFYg30UpJIUQp0Gig5+dwJQJWj4endyv1ccqgQpMbTk5OODk5sWzZstKMR5QxBXU4Sc/OYe/ZG+w8HceuO1ZnNKzqwOjg2nRs6EZQ7cpY6fKXdGlU1ZGwSW25nJDOrfRsGrg5SIFFUTYkXIRF/ZQ/3pXr3e7zrbNSEhva+5YnypOYlsVvkbEMbVkTa1mZJESpkXmLEKaXkqln1LyDXLiRyrwnWxBY0wUAN0fr4g1sYWWSlZJCiFJiZafU35jdEVaOhtGbyuT/r/etuSFKhynbpJpqrILafX05qCmfbjlF+D+J2FtZEFy/CpM71eeRRm54OtveczytVoObow0HLiQweelhvh/enMd8qxXpNQphMinXYWFf0GfAk5vBqXqxhlt/9ApZegMDg8pmRlsIIYR4EBnZOYxfEM7xmCS+GxZIcP0qphnYaISjyyFkBqx/plgrJYUQpahKfejzrZLc2Pp/0OPj+z6ktKmW3HjllVfYsGEDVlZW1KtXj3nz5uHs7HzX/bZs2cLzzz9PTk4O48aNY+rUqQBcuHCBwYMHEx8fT/PmzVm0aBFWVmUve/QgCusZ3qiq40MnJQobq46rHbcy9SRn6EnJUG6TM7JJzncsW/l3pp5bGdk81aEuU9f8na/DyYsrjjJjSDPSsnIKXJ3xILo3qYqXiy1zd5+X5IZQV0YSLO6nVGsfuQ6qFr9GxsrwaHw8KtGkupMJAhRCCCFKX3aOgWeWHuHP8/F89URTujUx0XzNaIStb8G+b+GxT4q1UlIIoYImoUr9jb++g5qtoUlftSPKR7XkRteuXfnoo4/Q6XS89tprfPTRR3dVMs/JyWHy5Mls3boVLy8vWrRoQUhICD4+Prz22mtMmTKFwYMH8/TTT/Pjjz8yceLEUn0NRVkhoc8xcD05k6tJ6VxJzOBqUjpBtSvz3LIjd7VJ/TDUjw83nXyomN7o6c0bYX/fNdZbvX14atGhez7WzsoCRxsdDtY6HG0scbCxLLDDiZujNZ4udg8V1510FlrGBNfh3Y2RHLmUQLN/lzgKUaqy02HZELh+Eob8rBRIKqaTV2/xd0wS0x6XQqJCCCHMk8Fg5JWVR9l2Mpb3+jQhtJkJVyLu/FhJbLQYB62eUraDCiHMS9f3IDoc1j0DVX2VFR1lhGrJjW7duuX9u3Xr1qxatequ+xw4cID69etTt25dAAYPHsy6devw9vbm999/Z+nSpQCMGjWKadOmlWpyo7AVEtUqWROdkMGVpHSuJqZzNSmDmH9vryamE5ucSY7BmG+sFU+1KTCJ4GRrSc3KD5dEcLItOCFRq7Id7/X1xdFah6PNv8mLf/9dycYSe2sLdBb5s+VxyZkl1uFkUIsafLXtNHN3X2DmMEluiFKWo4dVY+CffdB/LjQwTdXnleHRWFlo6RPgaZLxhBBCiNJkNBr5v/XHWRtxhVe6N2JEm9qmG3zPdNj1MQQMhx6fSWJDCHOls4KB8+GHDrBipLICy6roF75NqUzU3Pjpp5944okn7joeExNDjRo18r738vLir7/+Ij4+HmdnZ3Q6Xd7xmJiYUosXID41Ky+xAYWvkLDSaanuZIOHky2t67lS3ckWD2cbqjvb5v07M9tQYBKhurMts0cGPVRchSUkXB2sGdG61kON5WpvVWIdThysdQxtVZM5f5zn8s00ajxkEqesMmXtFFFCjEbY8BxEbVIqP/sNMMmwWXoDayNi6OpTFRfpAiSEEMIMffprFIv3X+KpR+oyqWM90w3812zY9jb49oeQb2T7iRDmzrkG9JsDSwbApleg70y1IwJKOLnRpUsXrl27dtfxDz74gD59+uT9W6fTMWzYsBKJYfbs2cyePRuAuLg4k42bpc8peIWEqx0/jGiel7hwtbdCc5/MtMHKaLIkgikTElqt5t8OJ8Vs91WI0W1r8+PuC/y09wJvP97EJGOqyZS1U0QJMRrht/9BxBLo+Dq0HG+yoX8/FcvN1CwGSCFRIYQQZmjWzrN8t/McQ1vVZOpjje87f31ghxfC5legUS8I/QG00klMiHKhQRfo8Ar88alSfyNwhNoRlWxyY9u2bff8+fz589m4cSPbt28v8A+op6cnly9fzvs+OjoaT09PXF1dSUxMRK/Xo9Pp8o4XZMKECUyYMAGAoKCHWwVxL1Y6i4JXSNhb07hapYcay5RJBFMnJJQOJ8Vs91UIDydbHm9anRUHL/NCl4Y42VqWyPOUlsJW84RNCi6x91A8pL3T4c8Z0HICPPKaSYdeER5N1UrWdGggld6FEEKYl8X7/+HTLVGENK3Oe318TZfYOLYS1j8H9TrDwHlgYd5zPSHEf3ScCpf/gk0vQ/UAqOanajiqrQnbsmULn376KevXr8fOruAtCS1atODMmTNcuHCBrKwsli9fTkhICBqNhk6dOuXV6ViwYEHeSpDSkrtCwstFaX9a3C0buUkETxc73Byti3Wl35RjlbRx7euQmpXDsgOX7n/nMq6w1TxZ+hyVIhL5HFoA26aB7wClQrsJ9/rG3spgZ9R1+gd6YVGG/38TQhSudu3a+Pn5ERAQYNKLIUKUdesiYnhr3XE6N3bni0FNTXceO7kBwp6C2u3gicWgkws9QpQ7Wgvo/yPYuij1NzKS1A1HrSd+5plnSE5OpmvXrgQEBPD0008DcOXKFXr27AmATqdjxowZdO/eHW9vbwYNGkSTJsr2hU8++YQvv/yS+vXrEx8fz9ixY0s1/jtXSOx9rRNhk4Jl+0ERNKnuRNt6rszfe5EsvUHtcIpFq9HkJbtymaoAqyimyPWw8QWo3wX6fmfyvb5rDsdgMMKA5rIlRQhztmPHDiIiIggPD1c7FCFKxbbIWF5ccZRWdSozc1gglhYmOj+e2QornwTP5jBkWZkpNiiEKAEObjBgHiT8A+smK9vAVaJaQdGzZ88WeLx69eps2rQp7/uePXvmJTvuVLduXQ4cOFBi8T2IktyyUZGMb1+XJ+cf5Je/r5i23VgpWxcRwyf9/Xlt9TGTF2AVxXDhD1g9FjyDYNBCpcKzCRmNRlYeukyL2i7UdXMw6dhCCCFESdl39gaTlh7Gt3ol5o5qgY2liS7GnN8FPw+Hqj4wbCVYO5pmXCFE2VWrDXR9R6ltt/87aDNJlTCkVLFQ3SMN3ajv7sCcPy5gVDHTVxyRV27x6a9RnIhJZOGYlvw8oTXzR7eQ1Txqu3IElg2ByvVg6M9gZW/ypzh8KYHzcakMbF7j/ncWQpRZGo2Gbt260bx587xC5P81e/ZsgoKCCAoKMmmRciFK25FLCYxbGE5tVzvmP9kSB2sTXe+8tF8577rUgeFhYOtsmnGFEGVfm2egcW84sRbiz0HiZUiJBUPprc6X5IZQnVarYVy7OkRevcWf5+LVDuehGY1Gpm04gZOtJYNa1MTTxZYn5x9k/p8XJbGhphtnYHF/sK0MI9aAXeUSeZqV4dHYWVnQ09+jRMYXQpSOPXv2cPjwYTZv3szMmTP5448/7rrPhAkTCA8PJzw8HDc3KR4szFPUtWRGzztIFQdrFo1tZbr25TGHYclAcKwGI9eBvatpxhVCmAeNBvrOgs5vwaK+MN0X5naB65GlluCQ5IYoE/o286SKgxVz91xQO5SH9svfVzlw4SYvdWuEs50V1joLgutXYcepOLNdiWL2kmJgUSiggZFroVL1EnmatCw9G45eoaefh+muegkhVJHbdc3d3Z3Q0FDVt74KYUoGg5G45Ez+iU8lOiGN5jWdWTKuFVUr2ZjmCWJPwOJ+ykqNUevBsappxhVCmBd9BqybBIn/NotIvATLh0Ba6ax2lOSGKBNsLC0Y0bo2v5+6ztnryWqH88DSs3L48JeTeHtUYkjLmnnHOzZyIyYxnXNxKSpGV4EYDMqyt8TLSmLjt7eUas0j1oBrvRJ72s1/XyM1K4dBQbIlRQhzlpqaSnJyct6/f/vtN3x9fVWOSgjTMBiMRMUmEzprL498tpO315/gxW6N8HS2vf+DH8SNM7CwD+hsYeR6cDLf+mlCiGLSZ91ObORKvKQcLwWS3BBlxvDWNbHWafnRjFZvfLfrHFeSMngnpEm+1mkdG7kDsOOU7MkucQaDstxtbhdl+du8x6D5KOXKkUfTEn3qFeGXqe1qR4vaLiX6PEKIkhUbG0u7du1o2rQpLVu2pFevXjz22GNqhyWEScSnZjF+YXheu/rohHSeXnyI+FQTfNi4eQEWhCj/HrUeKtcp/phCCPOlswLnmvmPOdc0eUH/wkhyQ5QZrg7W9G/uxerDMdxIyVQ7nPu6fDONH3ad4/Gm1WlZJ389B09nWxpWdWDn6esqRVeBpMUpy93uXP62/pkS24qS65/4VP66cJOBQTXQaKS2ihDmrG7duhw9epSjR49y4sQJ3nzzTbVDEsJkMvU5eYmNXNEJ6WTpc4o2YO5qyZsXIP4MuDVSamxUaWCCaIUQZs3ODQYvu53gcK6pfG9XOnWqZJO4KFPGBNdh6V+XWPTnP0zp2lDtcO7pw00n0Wjg9R6NC/x5p0bu/LT3AimZeqnHUJJUWv626lA0Wg30C/Qs0ecRQgghispoNBJ7KwMvF9t8CQ4vF1usdEVo/Zq7WjL3ooJzTRi0CNy8TRi1EMJsabXg7gPjtilzcZ2VktjQls6aClm5IcqU+u4OdG7szqL9/5CRXcQrCqVg39kbbD5+jckd61O9kD2rjzRyIzvHyL6zN0o5ugpGheVvOQYjqw9F076BGx5OJtqzLIQQQpjYgn0XeX/jSb4e3AwvF+V85eViy5yRQbgWpUtKQaslV4wotWKBQggzoNWCQ1VwrqHcllJiAyS5Icqgce3rcjM1izWHY9QOpUD6HAPvbIjEy8WW8R3qFnq/oFqVcbDWsSNKTvgl6uQvEDKjVJe/7Tt3gytJGQwMkqJpQgghyqY/Tsfx7sZIXB2saerpRNikYPa+duVWhwABAABJREFU1omwScE0qupYtHb1+kxViwUKIcS9yFp5Uea0rlsZX89KzN1znsEtahTt5FuClvx1iajYZL4fHoiNZeFLOq10WoLru7Ir6jpGo1HqMpSEP2fBr6/Do2+V6vK3FeHRONtZ0tVHWt0JIYQoe85eT2Hy0sM0rOrI9MEB6HRa3BytizeowQBJ0cpFhDsTHKVYLFAIIe5FVm6IMkej0TC+fV3Ox6WyI6psFeS8mZrFF79FEVzfle5Nqt33/p0auXMlKYPTsdIS1uQilimJDe8QaDel1Ja/JaVl8+uJa/RpWh3rouxXFkIIIUpQYloW4xYcxFqnZe6oINPV/do+Dba+BQN+Uq1YoBBC3IskN0SZ1NPPAw8nG+bsPq92KPl88VsUqVk5vP14kwdaifFII+Vkv7OMJWnMXtRmWDcZ6jwC/eeCtvSSDOuPxpClNzAwqEapPacQQgjxILJzDExacpgriRn8MKI5Xi52phn4wBzY+zV4BED1QGW15AvHlVt3n1LdUy+EEIWRv0SiTLK00PJkcG32n7/J8ZgktcMB4MSVJJYeuMSI1rVoWNXxgR7j4WRL42qOZW4Film7uBdWjgaPpjB4CeiKucz2Ia08FI23RyV8PZ1K9XmFEEKIezEajUxbf4J95+L5qJ8fzWtVvv+DHkTUZtj8KjTsAY99olxQUKlYoBBC3Iv8NRJl1uCWNXGw1pWJ1RtGo5F31kfibGvJlC4P16K2YyN3wi8mkJyRXULRVSBXj8KyweBcC4atAusHSzKZyqlrtzgWncQgKSQqhBCijFn45z8s+esSTz1Sl/7NTXSeijkEq8YoFxQG/AgWUq5PCFF2SXJDlFmVbCx5okUNNh67ypXE9Ps/oARtPHaVAxdv8kr3xjjZWT7UYzs1ckNvMLJXWsIWT/w5WNwfbJxgRBjYu5Z6CCvDo7G00NAnwLPUn1sIIYQozO4zSmeULt7uvNq9sWkGTbgIS58A+yowdAVY2ZtmXCGEKCGS3BBl2pPBtQGYv++iajGkZen5cNNJmlSvxBMtHr7OQmAtFxytdeyUlrBFd+sKLOwLRoOS2HAq/eRClt5A2JEYunhXpbK9VIUXQghRNpyLS2HSksM0cHdg+uBmWJiiy1zaTVg8AHKyYdhqcHAv/phCCFHCJLkhyjQvFzt6+FZj2V+XVNvW8f3Oc1xNymBaSJMiTRgsLbS0b1iFnVFxGI3GEoiwnEu7CYtCIT0Bhq+GKg1UCeP3U9e5mZrFICkkKoQoAQaDkbjkTGIS0ohLzsRgkPOFuD+lM0o4VhZa5ow0UWeU7AxYPhQS/4Ehy8Dt4bbjCiGEWiS5Icq88e3rkpyp5+eDl0v9uS/fTOP7P84T0rQ6LWoXvTBXx4buXLuVwalrySaMrgLITIElA+HmBWWCVb2ZaqGsDL+Mu6M17RtUUS0GIUT5ZDAYiYpNJnTWXoI/2UHorL1ExSZLgkPcU3aOgclLDxOTkM73I5pTo7IJOqMYDLB2Ilz6E0K/h1ptiz+mEEKUEkluiDKvaQ1nWtauzLy9F9HnGEr1uT/45SQWGg2v9yze/tXclrDSNeUh6DPh5+Fw5TAM+AnqtFctlOu3Mth5Oo7+zb3QWcifTSGEacWnZjF+YTjRCUp9qeiEdMYvDCc+NUvlyERZ9u6GSPaejefDfn7FugCTz/ZpcGINdH0XfPubZkwhhCglqszSX3nlFRo3boy/vz+hoaEkJibedZ/Lly/TqVMnfHx8aNKkCV9//XXez6ZNm4anpycBAQEEBASwadOmUoxeqGFc+zrEJKaz+fi1UnvOvWdvsOXENSZ3qoeHk22xxqpayQYfj0pSd+NBGXIg7Ck4vwNCvgXv3qqGs+ZIDDkGIwNNVX1eCCHukKXPyUts5IpOSCdLn6NSRKKsW/TnRRbt/4enOtRlgKnOTQfmwN6vocU4aPucacYUQohSpEpyo2vXrhw/fpxjx47RsGFDPvroo7vuo9Pp+OKLL4iMjGT//v3MnDmTyMjIvJ9PmTKFiIgIIiIi6NmzZ2mGL1TQxbsqdarYM3f3+VKpW5GdY+CdDSeoUdmWce3rmmTMTo3dOPRPAknp0hL2noxG+OUlOBEG3d6HZsNVDsfIyvDLBNVyoa6bg6qxCCHKJyudBV4u+ZPoXi62WOksVIpIlGV7ztxg2oZIOjd259XHTNQZJWozbH4VGvaAxz4BjQmKkgohRClTJbnRrVs3dDql4FHr1q2Jjo6+6z4eHh4EBgYC4OjoiLe3NzExMaUapyg7tFoNY9rV4Wh0EgcvJpT48y3e/w+nY1P4Xy8fbCxNM7ns2MidHGkJe3+/vw+H5kG7KdD2WbWj4fClRM7FpTIwSFZtCCFKhqu9FXNGBuUlOLxcbJk9IghX6cwk/uN8XAqTlhyivpsDXw8xUWeUmEOwagx4NIUBP4KFCYqSCiGEClTfPP7TTz/Ro0ePe97n4sWLHDlyhFatWuUdmzFjBv7+/owZM4aEhMI/7M6ePZugoCCCgoKIi5MtAeZsQKAXLnaWzNl9vkSfJz4lk6+2nqZd/Sp086lqsnGb1XCmko2OHaek7kah/pwJuz+HwFHQ+W21owFg1aHL2Fpa0Mu/utqhCCHKKa1WQ6OqjoRNCub3lx7hrd4+HI1OQGuKD66i3EhKy2bcgnB0FlrmjjJRZ5SEi7D0CbCvAkNXgJV98ccUQgiVlFhyo0uXLvj6+t71tW7durz7fPDBB+h0OoYNG1boOCkpKfTv35/p06dTqVIlACZOnMi5c+eIiIjAw8ODl156qdDHT5gwgfDwcMLDw3FzczPdCxSlztbKguGta7HtZCwXbqSW2PN8sfU0qVk5vP24DxoTLsvUWWhp39CNnaelJWyBIpbCr2+Adwj0/qpMLIlNy9Kz4ehVevp5mGYSKYQQhdBqNbg5WlPXzYH1R68wbX0k0QlpaoclyojcziiXE9L4wVSdUdJuKh3JcrJh2GpwcC/+mEIIoaISS25s27aN48eP3/XVp08fAObPn8/GjRtZsmRJoR8gs7Oz6d+/P8OGDaNfv355x6tWrYqFhQVarZbx48dz4MCBknoZoowZ0aYWllotP+4pmdUbx2OSWHbgEiPb1KJBVUeTj9+xoRtxyZmcuHLL5GObHYMBUmIh8TLERUH4PKjbEfrPBW3Z2Ge+5fg1UjL1DJItKUKIUvRmT280GqVjlxAA722MZM/ZG3wYaqLOKLkdyRIuKq3W3RoWf0whhFCZKpcit2zZwqeffsquXbuwsys482w0Ghk7dize3t68+OKL+X529epVPDw8AAgLC8PX17fEYxZlg7ujDX2bVWfVoWhe6toIFxPuRzYajbyz4QQudla80KVkTvK5LWF3nY7D19OpRJ7DLBgMcD0Slg+BxEvgXBP6fg8eAaCzVju6PCvDo6nlakfLOiZqsSeEEA+gurMtkzvW54utp9l79gbB9auoHZJQgcFgJD41i5upmQTXr0KdKvYMDKphioFh7UT4Z6/Sar1W2+KPKYQQZYAqNTeeeeYZkpOT6dq1KwEBATz99NMAXLlyJa/zyd69e1m0aBG///77XS1fX331Vfz8/PD392fHjh189dVXarwMoZJx7eviXa0SlxPSiElIIy45E4Oh+Ns81h+9wsGLCbzSvRFOtpYmiPRu7o42+HpWMu+6G3euuEiJVb6/5/1zIDkWrhyBU5vg4I9wNeJ2YgOU27VPQ3ZKiYf/oC7Fp/Hn+XgGNvcy6fYkIYR4EOM71KVmZTumrT9Bds59/s6KcsdgMBIVm0zorL10n76b9zZG0rquq0nmO2x/B47/P3v3HdbU2T5w/JsQ9pYlgjhQcaJVnDjrqqPubd2jrW2tXbZv+3bY99dWbW3tsq171b1w11H3qjirKE5UEBEUlD2S/P44FaWCioYMuD/XxRU4nJxzJ2Ly5D7Pc98roe3nULPnsx9PCCHMhEpfghb/h4SEEB4ebuowxDPS6fSEX7nN28tOEJ2Yjr+7PTMGhxDk4/xUxdd0Oj03UzK5djuN9CwtTSp6oNEUXd5vypZIft5xgWMft8PVoWiSKEUmvxkXfRaCLhsSzkNyrPJ19zok3/jn5xug1+Y9ztCNMDefFs7jToGbAa5KPYN7V8rikzO5lpjGc2Xd8HaxM2lMQli64vj+a4zHtDUijlHzw/m4c3VGNK1QpOcS5uXGnXR6/XqA6MT03G3+7vasHhOKl/NTzHDU6SAtHlJvwe2LcOsShI41i/pWQghRGI96/5UKecLi3ErNyk1sAEQnpjNqfjj/160m3209h7OdNU62GpztNDjZaXC2s8bFTvPPNuvc7S52GlztrYlPzmT0giMGSZQ8iZZBXvz45wV2n4/nxdoW1oEjLf7hGRfLXoL2XyozLwDsXMHZV/nyCgLn0vd/dvEF5zLKYMot4P5xQPlZY9q2h/eulI2aH57n78HTyVa6FgghjK5NNW+aV/Fi6tZzdKld5uk+1AqLcj4umTn7o+hWp0yexAYo452sHG0B93yE/C5M9FsEer0kN4QQxYokN4TFycrR5vuGX8rRBjcHG1Iyc7iZnEFyRg4pGTkkZ+YUeKzfBtXjf+sjHkqUPPWVkSdQp6w7bg7W7Iy0wORGRnLehAQoP3tVhTeOKomMJ2kjp9NBv8X/GmgtBgfTdjS6mZyRm9gA4/w9CCFEQVQqFZ++WJ323+3m6z/OMrlXbVOHJIqAVqdnx9mbzN0fxd4LCdhq1PR4zg9/d/uHZm7YaJ6i4HZ+FyaWDICR28DJcC3vhRDC1CS5ISyOjcYq3zd8X1d75g1v8ND+Op2elKx/Eh0ZOSRnZJOcqXxf3sPRcFdGnpCVWkWzyl7sOncTnU5vOTMCrhyA9MT8Z1zYuRRugKRWg3d1ZWCVk6XM2HDwUrYbWXqWlu1n41h/IpZhTcsb/e9BCCEeJdDLieFNKzB99yUGNCxHnbJupg7JLNxbQpiVo8VGY4WHo43lvJ/+425GNssOX2P+gStcvZ2Gr6sd418Iol/9ANzsrZkxOOShmYQeT1NIPTs9/wsTOVmGeSBCCGEmJLkhLI6Ho02h3vDVahUudta42D1c3yI+OdNwV0YKoVWQF+tOXOf09bvU8reArilRe+H3PlC5LfT9HZYOfPYZF2q1ya4YZeZo2X0ugXUnrrPtTBxpWVq8nG0ZbVXRJH8PQgjxKG88X4nVx2L4dO1pVr/axOI+xBtaQUsIi3JJqSFduJnC/ANRrDgSTVqWlvrl3Xn/haq0q+GDtdX9JH+QjzOrx4Q+WwJHp73/fm1mS0GFEMLQJLkhLI5arTLMGz6FT5QYSvMqSjJgR+RN809uXNoFi/oqA6EOk8HRyyxmXBRWtlbH/ou3WHfiOn+cvkFyRg7uDtZ0e86PzsG+NKzggQpM8vcghBCP4mxnzX86VOXtZSdYcTSaPoZoB2qBUjNzuBSfio1Gle8SwpWvNsHHTAtA63R6dp2LZ87+KHafi8fGSs2LtcswLLR8ga3h1WrVsy+J/PN/ELUHes2BFcPMaimoEEIYmiQ3hEUyyBs+hk2UFIanky21/V3ZGXmTsa0rF+m5nsnFP2FxfyhVEQavBad/BkJmtka3oOnJWp2evy7fZt3J62w+dYPbqVk422poX7M0nYN9Ca3kmecqGRjoSpkQQhhYtzp+LDx4hcmbz/JCzdL5zkY0d0+ylESv15OQksXF+BQu3Ey5f3szhet3MgBYOrpRvksIoxJSGTL7L6r5ulC1tLNy6+uMt7PxEh7/foz21mpWHIlm3oErXE5IxdvZlnfaVqF/wwA8nYq4llNEGOz9DuoNgzJ1LfLChBBCFIYkN0SJZ6hESWG1CPLmxz/Pk5iahbs5zgw4v00pOOZZGQaHgaOnqSPKV37Tk38ZWJeDl24xY89lbiZnYm9tRZvqPrwY7EvzKl7YWRe8zMRUfw9CiBLuXqvOAj58qtUqJnSpSZef9/L9tvN83Lm6CYMtvPxeq399qR5pWTkcv5b0TyIjlQs3U7iTnp17PwcbKwK9nGhQoRSVvJ0I9HLC180+3yWEttZqfF3tOHDxFquPxeT+ztPJhqql8yY8Knk7YfvPkkND1e/I7zFO7hVM2PHruDlY832/OnSo6YtNEbabz3XzLKwZA/71ocMkky4FFUIIY5HkhhAm0irIix+2n2f3+Xi61vEzdTh5nfsDlr6kdEEZHAYOpUwdUYFupWY9ND351d+P8knn6jwX4MaLtcvwfFVvHGzk5U4IYabybdW5WCm8/ECCo5a/K/3ql2Xe/ij61S9LZR9nEwZdOLF30h96rX5l4RE+7lydLzeexdPJlkAvRzoH+xLo5aQkMryd8HWxeyjRoNPp811CGOTjzJxhSmHxxNQszt5I5kzsXc7euMuZ2GQWHLxCZo4OAI1aRaCXE+1reNOyqg9jFx/LPdbPA+pyNyOLhJQssrV6srU6snN0ZGv1ZGl1ZGt15Pyz/d7P2Tl6eoX489bS43ke4/gVJ1k4oiHlPZ+gk5ihZNxRLk5YO0CfBaCRhL0QomSQ0b4QJhLs74b7Py1hzSq5cXYDLBsCpWvCoNVg727qiB6poNbA1Xxd+G1QiImiEkKIQsi3VWf/fFt1vtsuiA0nY/ls3WkWjmiISmWey+ZSMnM4ePEWey8ksPt8PF91r5Xva3VlbyeOf9IWN4cnn8H4JEtK3R1taBzoQeNAj9xtOVodUbfSchMeZ2OTqRPgnpvYuBfTa4uO8nHn6ry19ESBMVipVVhbqbC2UmNjpUZjpaJ3iH++j9Hayoj/RjodrHoZkq7AkPXg4mu8cwshhIlJckMIE7FSq2hRxYtd5+LNpyVsxFql4JhvHXhpJdi7mTqix0rN1OY7PflRS0+EEMKs5GQ9catODydb3mkXxKdrT/PH6Ru8UNM8PrxqdXr+jrnDnnPx7LmQwNErieTo9NhZq2lU0QMnW02+r9XOdtaFSmzc8zRLCDVWaip5K7NCXqxdBoCYxLR8ExJBPs7sfLclGisVNlZqrK3UWGvUSkJDrc73PdtUHdjy2P01nNsEHb6Gco2Nd14hhDADktwQwoRaBnmz5vh1TsbcoU5ZN9MGc2oVrBwJ/iEwcAXYuZg2nsfQ6vR8syWSgxdvMaV3bd5ZfkI6nAghLJPGplCtOgc2DGDxX1f53/oztKjijb1N0X14flQ9imu309h7IYE95+PZd+FWbq2Mmn4ujGpekWaVPKlX3h1bjVWBS0lM/Vpto7HKNyHhaKspdPLEVB3YckVuhp1fQe3+0GCUcc4phBBmRJIbQphQ8ypeqFSwM/KmaZMbJ5fD6tFQthEMXAa25r2OOykti7FLjrP7XDz9GwRQu6yrdDgRQlguBy+lxsaDNTe6TgPtwzM3QJmB8FmXGvSbfpDfdl9kXJsqRRJWfgUyfx5QlwMXE1gaHs3lhFQAfF3taFfdh2ZVvAgN9MAjny4gpupO9jiGTEiY9DHeugirRoNvMHT+Dsx0uZIQQhQlSW4IYUKlHG2o7e/Gjsj4IhucPtaJJbDmVSgXCgOWgo0Ri549hbM37jJ6/hFi76TzZfdaDGgYAICdtbycCSGejVarJSQkBD8/P9avX2+8E6vVSvHQe606ddmw/h24eVqpfeRT46G7NKroQedgX37ZeZGedf0pW8rB4GHlV7D5tUVH+fTF6lTwdGRQo3I0r+JJoJfTE9X+MMduVIZOSJjkMWamKAVE1VbQdyFY2xv3/EIIYSakwbUQJtYqyJuT0UncSsk0/smPLYTVr0CF5jBgmdknNtafvE73n/eTka1lyejGuYkNIYQwhO+//55q1aqZ5uT3WnW6lYVSFeGFr0Clhjkd4drhfO/yYcdqqFUqvthwxuDhZOXouJWaWWDB5tlD6zO8aQUqeTubbVHTJ3UvIeHn7oCXs63JZ5MUil4PYWMg4Rz0mq3M+hFCiBJKkhtCmFjLIC/0eth9Pt64Jz4yF8Jeg8Dnof8SsHmyq346nZ745ExiEtOIT85Ep9MXbZwo9TUmbjrL64uOUb2MC+vfaEq9cubdxUUIYVmio6PZsGEDI0eONHUoCu+qMHyz0rFqfle4uOOhXcq42fNaq0A2n77B3vMJBjmtXq9n3YnrtPl2F1dupeHvnncWgL+7PbbGLJApHm3f9xARBm0+g8BWpo5GCCFMSpIbQphYLT9XPBxt2BlpxOTG4Zmw7k2o3A76LXriKaz31l93n7aP0Ek76D5tH5FxyUWa4EhKy2LonL/4dddFBjQMYPGoRni72BXZ+YQQJdO4ceOYPHkyanXBQ6Pp06cTEhJCSEgI8fFGeM12L68kONzLw6I+cGbdQ7uMbFaRgFIOfLbuNNla3TOdbv/FBLr+vI83Fh/DwcYqtx7FvQSHuRQBFf+4+CdsnwA1ukOTsaaORgghTE6SG0KYmPqBlrBaI8yC4NBvsOEdCOr4z9rcJ08U3EzOfGj99aj54dxKzb/o3bM6E3uXLj/t4+ClW3zVoxZfdq+FjUZetoQQhrV+/Xq8vb2pV6/eI/cbPXo04eHhhIeH4+XlZZzgnEvD0PXgWxuWDYbji/L82s7aio87V+fCzRTmH7jyVKc4e+Muw+b8xYAZh0hIzuSb3rXZMLYZIeVL5daj2Pd+K1aPCSXIx9mylm0UV4lXYMVw8KoKXX6SAqJCCIEUFBXCLLSs6s2qYzGciE6ibkARLLfQ6SAtHlITwKUMNHkTnv9vgW0G/y0+OZN5+6NoXsUr3/XXCSmZ3M3IJtDLyWAhrz95nfeWn8TZTsOS0Y1lGYoQosjs27ePtWvXsnHjRjIyMrh79y4vvfQSCxcuNHVoCodSMGgNLB2oFIDOuAuNXsn9dZtq3rSo4sXUrefoUrvMExe0vJ6Uzrdbz7HyaDTOthr+06EqQ5qUx876/rITcywCWuJlp8PSl5T39r4LwdZw771CCGHJTHIJ9L333qNq1aoEBwfTvXt3kpKS8t2vfPny1KpVizp16hASEpK7/fbt27Rt25bKlSvTtm1bEhMTjRS5EEWjeWVP1CrYefam4Q+u08HNCJjZBn5pAn98CMG9Qf343ObF+BT+s+okoZP+5OedF9Dr9fmuv756O43WU3bR8fs9/LLzItdupz11uFqdnq82nZH6GkIIo/nqq6+Ijo4mKiqKJUuW8Pzzz5tPYuMeWyel8HPVzrD5fdg5USkmCahUKj55sToZOVombz772EPdSc9m4qaztPpmJ2uPX2dk0wrsHt+Kl1sE5klsCDOk18O6cXDjb+g5AzwCTR2REEKYDZMkN9q2bcupU6c4efIkVapU4auvvipw3x07dnD8+HHCw8Nzt02cOJHWrVtz/vx5WrduzcSJE40RthBFxs3BhucC3Nl5rgjWcKfGw5L+kHRV+TnpqtIyLq3gc4VH3WbU/HDafLuLlUdj6FXPn+1vt6B++VL5rr+uG+DGx52rY2utZtLmszSbvINuP+9j1t7L3LiT8cSh3quv8duuSwyU+hpCCJGXxhZ6z4PaA2DnV7D5P0oCGwj0cmJ4aAWWH4nm+LWkfO+emaNl5p5LtPh6B7/tvkinWr78+W4LPupUHTcHqaNhEf6aDieXQMv/QJX2po5GCCHMikmWpbRr1y73+0aNGrFixYpC3T8sLIydO3cCMGTIEFq2bMmkSZMMGaIQRteyihdTtp4jPjnTcFOAM1PgbvT9xMY9SVchJ2+dDK1Oz9aIOKbvvsjRq0m4OVjzRqtKDG5SHk+n+/HcW3+dlaPFRqMUnFOrVYxoWoERTStw7XYa60/Gsu7Edf63PoL/2xBB/fKleLF2GTrWLI3HP8fS6fTcSs3KPU5yRjZD5vxF3J1MJvaoRb8G0s5OCGF8LVu2pGXLlqYOo2BWGuj6M9i5wqFfIPMuvPgDWGl4/flKrDoWw6dhp1g9JjS3NoZOpyfsRAzf/HGOmKR0mlX25IMOValRxtXED0YUypX9yuzLoI7Q/D1TRyOEEGbH5DU3Zs+eTd++ffP9nUqlol27dqhUKl5++WVGjx4NQFxcHL6+vgCULl2auLi4Ao8/ffp0pk+fDmCcyuZCPKVWVb2ZsvUcu8/F07Oe/7Mf8E40LOoHLT9Q+t4/mOBwC8itt5GRrWXFkWhm7b3M5YRUypayZ0KXGvQO8cfB5uGXiMetvy5byoFXWwbyastALsansP5ELGtPxPDxmlN8tvY0TQI9GNyoHH7u9oxecIToxHT83e2Z3DOYyl5OfN/vuaKpOyKEEMWFWg0vfAX2bsoMjow70Gs2zna2/KdDVRYcuEJkXDIudhoycnT89Od5Vh+7To0yLkzqGUzTyp6mfgSisO7EKAVl3ctD91+VvwEhhBB5FFlyo02bNty4ceOh7V988QVdu3bN/V6j0TBw4MB8j7F37178/Py4efMmbdu2pWrVqjRv3jzPPiqVCtUjKkSPHj06NynyYN0OIcxNdV8XPJ1s2RF589mTG9FHlKUo2eng5AX9Ft9fmuIWAP0Wc1ftxpxt55l/IIpbqVkE+7vy04DneKFGaTRWhhk0BXo58WabyoxtXYmzN5JZf/I6607EooPcxAYoRUnHrzzJspcbU8btydrSCiFEiaZSKclrO1fY/IHSKrbv73StXQY/N/vczlb+7vZ83SuYrnX8aF7ZSzqdWKKcTCWxkZ0OQ9Yr/+ZCCCEeUmTJjW3btj3y93PnzmX9+vVs3769wOSEn58fAN7e3nTv3p2//vqL5s2b4+PjQ2xsLL6+vsTGxuLt7W3w+IV4Kve6kuRkKTMjHLye+OqKWq2iZZAXWyPiyNHqnj7BcGqVUk3fyQcGrwXvqui0WrTDtqLSZqFVW7PxUjb/+flPMrJ1tAryYnTzQBpVLPXIROGzUKlUVPN1oZqvC++2CyLqVmq+XVf0eiO0whVCiOKk0avKh92w12BBNxK7LOSd5RF5ksfvrTiZZ5mKsBD3xhR3Y6HpOLB1Ae+qpo5KCCHMlknmtG3evJnJkyezdu1aHBwc8t0nNTWV5OTk3O+3bNlCzZo1AejSpQvz5s0DYN68ebkzQYQwqQe7kkytqdzejMgt9vYkWgZ5cSc9u8BicI+k18Our2HFMPCtA6P+VBIbOj2RN1Np9WsElSb/TevfzuDt4sCrLQLZ8lZz5gxrQONAjyJLbPybSqXCydY6364rNhqp0i+EEIVWZwD0mQ+xJ3Bd2pUqThmsHBTInpcrsXJQIF5O1mTlaE0dpSiMB8cU01sotTYcPAo1phBCiJLGJMmN119/neTkZNq2bUudOnV45RWlV/v169fp2LEjoNTVaNq0KbVr16ZBgwZ06tSJF154AYAPPviArVu3UrlyZbZt28YHH3xgiochxH06Hdy6kE9Xkv6P7Eryb80qeWGlVrEzspD1YbIzYNVo2PF/ENwPhqwFR2VN9bXEtNzpyaBcxXt/5UkGNCxHFR/nwp3HQDwcbfLtuuLhKNX6hRDiqVR7EQYsQ+PkwYwOTtTb2puy8xpQb2tv5nR0xMFGajRYlLvRzzymEEKIksYkBUUvXLiQ7/YyZcqwceNGACpWrMiJEyfy3c/Dw4Pt27cXWXyiiDzDkg2zlXoLji2AI3OU6vX5dSXJSn3iw7k6WFM3wI0dkTd5t33Qk90pJR6WDoRrh+D5j6HZO6BScfbGXb7beo7hoRXyXQJiyqt4arWqwK4rQgghnlJgK3ALwGpBtzwfit3ChqAfsQ2Q1tpm78Yp2DcV6g17ok5nQggh7rPwT5bCYhhgyYbZ0Ovh6iFlpsS31WDbp+Dip0wXdftX+1K3AIiLgDWvPTxIKUDLIG9OX7/LzbsZj9/55hmY+TzEnoDe86D5u1xMSOWNxcfo8P0e9l+4hb2NlVkuAbnXdcXP3QEvZ1tJbAghhAGorGzy/VCs0sqHYrOl18PlPbCwJ/waCpGblItA+Y0pNDLDUQghCiLJDWEcafGWP70yMwXCZ8OvzWB2Ozi7EeoOhjEHYdhG8AxSupLcG4y4BUDf35XH+vdy+KEubBwPyQW3Lgal7gbAznOPeW7Ob4NZ7ZQq6sM2crV0O95ZdoK23+5i+5k4Xm0RyJ73W1GzjKssARFCiJKioA/FCechYq1lXlQornQ6OLMOZraGeZ3h+nF4/r/w1ikoU+/hMUW/xcqsVyGEEPkyybIUUQLlZFnu9MqbZ+DwLDixBLKSwacWdJ4KtXqDrdP9/dRq8K4OI7flXXrjGwzVu8LuyXB4prKMpeHL0GQsOJR66HTVfV3wdrZlV2Q8fULK5h/Toemw+X3wqcGNTnP5/lA6y8N3YqVWMTy0Aq+0DMTTyTZ3d1kCIoQQJYRDPu2/e82BvVPh7DrwqqosX6zRA6xkGGgSOZlwcins+wFunQf38tBpCtQZCNYPzLTMb0xh6ct5hRCiCMm7mjCOjCRlgPVggsMtANRm8CeYXy0QXQ6cWavM1LiyD6xsoEZ3qD8S/OtDQZ1F1GqlBeu/ufrBi98rCY2dXymDzMOzlJ8bvQK29wt7qlRKS9hNp2483BJWmwObP4DDM8gMbM8Up/eY++t59OgZ0DCA11pVwsfl4TXV95aACCGEKOYKSrT3ngunV8OeKbBqFOz4Epq+BbX7y1IHY8m4q9ToOvgLJMdC6WDoNRuqdc0/0VTQmEIIIUS+zOCTpSj2ji1U3sy7/warX75/JanLT8oH9cavQ9n6pontXi2QB69w9ZwFOyfBxW3gVg7aTIDnXsrtPvJMPAKh50xlQPnnF0p3k0O/KlfRQoaDtZKYaBXkzbLwaI5eTaJBhX9md2TcgeXD4OJ2DpYeyPBzncjUxtO7nj+vP18Jf/f82yoLIYQoYfL9UKyG4N5QsydEboDd38C6sbBrEoS+qSyztLbP93DiGSXHwaFf4PBsyLwDFVpAt2lQsVXBF0uEEEIUmiQ3noUhu3+Y67Ge1d8rIOx1pYJ7mbp5ryQlXYOYI0r9itA3oeV/QGPk2QX51QJZOQK6/gKNXoXA54vmufOpAf0XQXQ4/Pk/+OM/cOAnaDEe6gwktLIn9QLcsNGoiElMwy7lGm5rBsHtC0zQjWbBlZZ0r+PH2NaVKe/paPj4hBBCFE9qtdI2tmpnuLAd9nwDm8bD7q+Viw31R+SZTSgK6cExmF4Pp1bAzomgzVKWqIa+CX51TR2lEEIUS5LceFr5XfHvt1iZClqYD8N6vfKGl3AOlgy4f6y+vytrMOGfrL4KVOoHvi9gm15vmLgM4cw6paNIuVDl8Vjb5c5MAJSrSq/uhz8+hL3fwbk/oPuv4FvbOPFpsyEtMf9aIO7lwK2AeheG5B8Cg8Pg8m7Y/j9Y9ybsnYpTyw/5vEsbdKkJWOdk4pJxFb1TaSbkDOW2TyO2tqlMJW8ZfAohhHhKKhVUbqN8Re1TkhvbPlXejxu+otSGcihlXhdMzF1+Y8MuP0HLD5TEhkegqSMUQohiTaXX6/WmDsJYQkJCCA8PN8zBUuKUdqb/riHR9WfYNVn54KzNeuC2gO912dB3ofIB/9/Hav8lLH2pcHEVdKyR24y7bvP8VljcH8rUgUGrH38V6NwfsPYNSLsFzcdDs7fByrpoYstMgaPz4cDP0GGieTxfoCSmzv2hzOSwtkP7/GdYrR2TO0C623UOae7VKO0mMzWEEJbFoO+/ZqI4PiaijygzOSI3go0TtP4EAhrD0oGmv2BiCW5fhvldzGNMIYQQxdSj3n9l5sbTKqj7h7W9UoxSY6N8oLeyUT6kW9n86/sHtrlXyP9YpSpCuy9ArwP0yoffe7e528j7O/fypu9KcmmXkpTxrgYDVzzZ9NYq7ZWWqpvGw84vlYFV91+VYxhKagIc+g0Oz4D0RAhoAg6eD1eVN1WrNZUKgl6Ayu3IjjuD9dJ+eZbLuIQNw3boFkCSG0IIIYqAfz3ovxjiTiuFR13K3E9swP027vJhPa+4CGXs0vAV04/BhBCiBJPkxtO610f+39l5twAYvrlwx0qJy/9Yjp7Q5HXDHCsrtXDHeVpXD8LifkpiZtAasHd78vs6lFKKbVZ7Eda/Bb81V/q9N34d1FZPH1NiFOz/SSlsmpMOQZ2g6Tgo20D5vU5nXq3W1GrUds75DpA0+mzTxCSEEKLk8KmhdPG4fSn/D+sp8ZBwHvzqlewipAnnlQ5op1YpM12avp3/GEy60QghhFHInMKnda+PvFuA8vOzXPEv6mN1+xXWvgZ/fKQshykqMUdgYS/lSs+gNeDo8XTHqd4VxhyCyu1g6ycwpwPculj448SehBUj4Ie6cGSuUiH+tb+UQp73Ehtwv6q8W1nl1gym2qo1tvf/De9xC1C2CyGEEMZg45jvexGJl2FuJ5gYALNfgO2fK8VJM5NNE6ex3b4Mq1+FnxtA5Cblgsm4k+Bbx3DjOSGEEIUmNTeehbl2OPn3sexcYcsn8Ndv4F8fes0xfLHMG6eUgY6dKwzbBK5+z35MvR5OLoNN7ylJmTYToP7IRz8ver1SnHPf93Bxu3Ilpd5QaDTGMDEZi06H/mYEqgeWy+j7LUYl65yFEBaoONanKI6P6SEFFU93KwtXDsCVfcrX9eOg14LKSikKXq4JlG8KAY3A3j3v8Sy5OGnSNaXw6vHfQa1RxiSh48DpgeSFpT9GIYQwc496/5XkRklyejWEvQFWGugxAyq3Ncxx4yNhTkeljeuwjfe7vBjK3etKsdEL26BCc6Voq4t/3sGDvQecXa8kNa4fBUcvZe1r/RF5B1aWRAZIQohioji+/xbHx5SvJ3kvykyB6L+UritX9kNMuFI0HZWyxKVcEwjqCA4ellmc9G6sUoPk6Dzl53pDlSUoLr4mDUsIIUoiKSgqFDW6Q+lgWDYEfu8Fzd6Blh8qyY6ndesizOuitKQdvNbwiQ1QlrkMXKEMKv74CFa/Bm0/hRXD7g+Quk6DAz8qhUI7fQt1Blj+OuB7y2WEEEIIU3mS9yJbJwh8XvkCyM5Qlqrem9lxbKFycWLdWMsqTpoSD/umwuGZSrH4OgOh+XvGaRUvhBCi0CS5UdJ4BMLIrbDpfeUqxNVD0GsWOJcu/LGSrsL8rsrVmaEbwLOS4eO9R6VSrpRUbKUUCL2X2LgXR9gYGLAMPKs8W/FRIYQQQjwbazsoH6p8gbK0NPFK/sVJM1NMn9z49+wUK1slqXFoulKIPLgftBgPpSqYNk4hhBCPZObzAEWRsLaHLj9A99+UJRy/NlXatxbG3VhlxkbGXRi8BnyqF0moD3Evp3RiyW+AZOMkiQ0hhBDC3FhZg51z/sVJb0bArPZKx5GiLHpekHt1RWa2gak1ldvYkxC1B4I6KIXIu/8iiQ0hhLAAktwoyWr3g1E7wL6UMgNj5yTQaR9/v5R4mN8FUuPhpZVK8TBjuteG90HSak0IIYQwX/l1c+u7SFnCknJDmZE5NRh2fwOpt4wXV2r8/YKpoNyufQ16zFJmtnpWNl4sQgghnokkN0o676owegcE94WdXyq1OFITCt4/7TYs6KZUDB+wDMrWN1qouQzZOlcIIYQQRU+tVoqHjtwG404ptz41ILg3vHEU+i8Bryrw5//g22oQ9hrc+Nvwcej1cPOMsuRk6Utw+1L+s0FlJqgQQlgck9TceO+991i3bh02NjYEBgYyZ84c3Nzc8uwTGRlJ3759c3++dOkSn3/+OePGjeOzzz5jxowZeHkpH2a//PJLOnbsaMyHULzYOEL3X5Vq5hvfg1+bQa/ZUK5x3v0y7sDCHpBwDgYsvb+W1tgeHCBJJxEhhBDCMhRUnFRtpSwBCeqgJB7+mg4nliiFSMs1hYYvK91WnqYAul6vFD+P2g2X90DUXki9qfzONUCp6eUWkDfBIbNBhRDCIpmkFeyWLVt4/vnn0Wg0vP/++wBMmjSpwP21Wi1+fn4cOnSIcuXK8dlnn+Hk5MS7775bqPOWmLZtzyL2JCwfohT+avMpNHoN0m8p00ZvX4YdX0Kzt5QBiBBCCPEEiuP7b3F8TGYlPRGOLoC/ZsCdq+BaFuqPhLqDwaHUo1vUJkb9k8jYo9wmX1e2O/tC+WZQoZnSvcW9/P2aG/eWplhSi1ohhCiBzK4VbLt27XK/b9SoEStWrHjk/tu3bycwMJBy5coVdWjCNxhG74K1b8CZteBfH1a/fP8Nv/dc8H3O1FEKIYQQojizd4fQsdD4NYjcBId+hW2fws6JSueSwNaw7KX745Nec+HCdji2QEmGADh4KomM8s2gQgulY5xKlfc8MhtUCCGKDZO3gp09e3ae5Sf5WbJkCf3798+z7aeffmL+/PmEhIQwZcoU3N3d873v9OnTmT59OgDx8fGGCbq4s3NRkhg3/oalA/MW2Vo+1Lx70gshhBCi+FBbQbXOyteNU/DXb+AVdD+xAcrtiqHQYTLcCIYmryszM7yqPpzMyPccBSyXEUIIYVGKbFlKmzZtuHHjxkPbv/jiC7p27Zr7fXh4OKtWrUJVwJtPVlYWZcqU4fTp0/j4KG88cXFxeHp6olKp+Pjjj4mNjWX27NmPjUmmkBZS0jWlLdq/jTsFbmWNH48QQgiLVBzff4vjY7IYiVHwfT6d2mR8IoQQxZ5JlqVs27btkb+fO3cu69evZ/v27QUmNgA2bdpE3bp1cxMbQJ7vR40aRefOnZ89YPGwey1XpciWEEIIIcyFtb2MT4QQQjzEJAsKN2/ezOTJk1m7di0ODg6P3Hfx4sUPLUmJjY3N/X716tXUrJnP7ALx7KTlqhBCCCHMjYxPhBBC5MMkNTdef/11MjMzadu2LaAUFf3111+5fv06I0eOZOPGjQCkpqaydetWfvvttzz3Hz9+PMePH0elUlG+fPmHfi8MRIpsCSGEEMLcyPhECCFEPkyS3Lhw4UK+28uUKZOb2ABwdHTk1q1bD+23YMGCIotN/IsU2RJCCCGEuZHxiRBCiH+RFLcQQgghhBBCCCEsmiQ3hBBCCFGiZWRk0KBBA2rXrk2NGjX49NNPTR2SEEIIIQrJJMtShBBCCCHMha2tLX/++SdOTk5kZ2fTtGlTOnToQKNGjUwdmhBCCCGekMzcEEIIIUSJplKpcHJyAiA7O5vs7OxHtqkXQgghhPmR5IYQQgghSjytVkudOnXw9vambdu2NGzY8KF9pk+fTkhICCEhIcTHx5sgSiGEEEIURKXX6/WmDsJYPD09KV++vMGPGx8fj5eX9FY3BXnuTUeee9OQ59105Ll/elFRUSQkJJg6jCeSlJRE9+7d+fHHH6lZs2aB+8mYoviR59405Hk3HXnuTUee+6f3qDFFiaq5UVQDq5CQEMLDw4vk2OLR5Lk3HXnuTUOed9OR575kcHNzo1WrVmzevPmRyQ0ZUxQ/8tybhjzvpiPPvenIc180ZFmKEEIIIUq0+Ph4kpKSAEhPT2fr1q1UrVrVtEEJIYQQolBK1MwNIYQQQoh/i42NZciQIWi1WnQ6HX369KFz586mDksIIYQQhSDJDQMYPXq0qUMoseS5Nx157k1DnnfTkee++AoODubYsWOmDgOQvzNTkufeNOR5Nx157k1HnvuiUaIKigohhBBCCCGEEKL4kZobQgghhBBCCCGEsGiS3BBCCCGEEEIIIYRFk+TGM9i8eTNBQUFUqlSJiRMnmjqcEqV8+fLUqlWLOnXqEBISYupwirXhw4fj7e2dpyXi7du3adu2LZUrV6Zt27YkJiaaMMLiK7/n/rPPPsPPz486depQp04dNm7caMIIi69r167RqlUrqlevTo0aNfj+++8B+dsXRUfGFKYjYwrjkTGF6ciYwnRkTGE8ktx4Slqtltdee41NmzYRERHB4sWLiYiIMHVYJcqOHTs4fvy49IguYkOHDmXz5s15tk2cOJHWrVtz/vx5WrduLQPxIpLfcw/w1ltvcfz4cY4fP07Hjh1NEFnxp9FomDJlChERERw8eJCff/6ZiIgI+dsXRULGFKYnYwrjkDGF6ciYwnRkTGE8ktx4Sn/99ReVKlWiYsWK2NjY0K9fP8LCwkwdlhAG17x5c0qVKpVnW1hYGEOGDAFgyJAhrFmzxgSRFX/5PffCOHx9falbty4Azs7OVKtWjZiYGPnbF0VCxhSipJAxhenImMJ0ZExhPJLceEoxMTGULVs292d/f39iYmJMGFHJolKpaNeuHfXq1WP69OmmDqfEiYuLw9fXF4DSpUsTFxdn4ohKlp9++ong4GCGDx8uUxiNICoqimPHjtGwYUP52xdFQsYUpiVjCtOS11XTkjGFccmYomhJckNYpL1793L06FE2bdrEzz//zO7du00dUomlUqlQqVSmDqPEePXVV7l48SLHjx/H19eXd955x9QhFWspKSn07NmTqVOn4uLikud38rcvRPEgYwrzIa+rxiVjCuOSMUXRk+TGU/Lz8+PatWu5P0dHR+Pn52fCiEqWe8+1t7c33bt356+//jJxRCWLj48PsbGxAMTGxuLt7W3iiEoOHx8frKysUKvVjBo1Sv72i1B2djY9e/Zk4MCB9OjRA5C/fVE0ZExhWjKmMC15XTUdGVMYj4wpjEOSG0+pfv36nD9/nsuXL5OVlcWSJUvo0qWLqcMqEVJTU0lOTs79fsuWLXkqP4ui16VLF+bNmwfAvHnz6Nq1q4kjKjnuvQkCrF69Wv72i4her2fEiBFUq1aNt99+O3e7/O2LoiBjCtORMYXpyeuq6ciYwjhkTGE8Kr1erzd1EJZq48aNjBs3Dq1Wy/Dhw/noo49MHVKJcOnSJbp37w5ATk4OAwYMkOe+CPXv35+dO3eSkJCAj48PEyZMoFu3bvTp04erV69Srlw5li1bJkWqikB+z/3OnTs5fvw4KpWK8uXL89tvv+Wu1xSGs3fvXpo1a0atWrVQq5XrAF9++SUNGzaUv31RJGRMYRoypjAuGVOYjowpTEfGFMYjyQ0hhBBCCCGEEEJYNFmWIoQQQgghhBBCCIsmyQ0hhBBCCCGEEEJYNEluCCGEEEIIIYQQwqJJckMIIYQQQgghhBAWTZIbQgghhBBCCCGEsGiS3BBCmJ3PPvuMb775xtRhCCGEEMLCyZhCiJJDkhtCCCGEEEIIIYSwaJLcEEKYhS+++IIqVarQtGlTIiMjAZgxYwb169endu3a9OzZk7S0NJKTk6lQoQLZ2dkA3L17N8/PQgghhCjZZEwhRMkkyQ0hhMkdOXKEJUuWcPz4cTZu3Mjhw4cB6NGjB4cPH+bEiRNUq1aNWbNm4ezsTMuWLdmwYQMAS5YsoUePHlhbW5vyIQghhBDCDMiYQoiSS5IbQgiT27NnD927d8fBwQEXFxe6dOkCwKlTp2jWrBm1atXi999/5/Tp0wCMHDmSOXPmADBnzhyGDRtmstiFEEIIYT5kTCFEyaUxdQBCCFGQoUOHsmbNGmrXrs3cuXPZuXMnAKGhoURFRbFz5060Wi01a9Y0baBCCCGEMGsyphCi+JOZG0IIk2vevDlr1qwhPT2d5ORk1q1bB0BycjK+vr5kZ2fz+++/57nP4MGDGTBggFxhEUIIIUQuGVMIUXKp9Hq93tRBCCHEF198wbx58/D29iYgIIC6devi6OjI5MmT8fLyomHDhiQnJzN37lwAbty4QYUKFYiNjcXNzc2ksQshhBDCfMiYQoiSSZIbQgiLtGLFCsLCwliwYIGpQxFCCCGEBZMxhRDFg9TcEEJYnDfeeINNmzaxceNGU4cihBBCCAsmYwohig+ZuSGEEEIIIYQQQgiLJgVFhRBCCCGEEEIIYdEkuSGEEEIIIYQQQgiLJskNIYQQQgghhBBCWDRJbgghhBBCCCGEEMKiSXJDCCGEEEIIIYQQFk2SG0IIIYQQQgghhLBoktwQQgghhBBCCCGERZPkhhBCCCGEEEIIISyaJDeEEEIIIYQQQghh0TSmDsCYPD09KV++vKnDEEIIIUqUqKgoEhISTB2GQcmYQgghhDC+R40pSlRyo3z58oSHh5s6DCGEEKJECQkJMXUIBidjCiGEEML4HjWmkGUpQgghhBBCCCGEsGiS3BBCCCGEEEIIIYRFk+SGEEIIIYQQQgghLJokN4QQQgghhBBCCGHRJLkhhBBCCCGEEEIIi2b2yY1r167RqlUrqlevTo0aNfj+++8BuH37Nm3btqVy5cq0bduWxMREE0cqhBCiWNLpICUOkq4ptzqdqSMSQgghhDAYnU5PfHImMYlpxCdnotPpTR3SUzH75IZGo2HKlClERERw8OBBfv75ZyIiIpg4cSKtW7fm/PnztG7dmokTJ5o6VCGEEMWNTgc3I2BmG5haU7m9GfHUCQ6dVkv2nRvk3L5C9p0b6LRaAwcshBBCCPHkdDo9kXHJdJ+2j9BJO+g+bR+RcckWmeDQmDqAx/H19cXX1xcAZ2dnqlWrRkxMDGFhYezcuROAIUOG0LJlSyZNmmTCSIUQQhQ7afGwpD8kXVV+Trqq/DxgOdy+BGor5UtlBWrNPz9r/vnZKs/POo09urRbWC8fpBzHLYCcPovApzpqKyvTPk4hhBBClEi3UrMYNT+c6MR0AKIT0xk1P5zVY0LxcrY1cXSFY/bJjQdFRUVx7NgxGjZsSFxcXG7So3Tp0sTFxZk4OiGEEMWCXq8kLi7thDLP3U9s3JN0FdISlCRHIaj7LkT9x4d5EiWaZQPIGbAKdakA0FjWAEIIIYQQli8rR5ub2LgnOjGdrBzLm11qMcmNlJQUevbsydSpU3FxccnzO5VKhUqlyvd+06dPZ/r06QDEx8cXeZxCCCEsUPINuLQLLu9Sbu9GK9sHLAO3gLwJDrcAcPGD0btApwW9FnQ5yve6nH9+1j70s7ZUJazySZRo0uJgRnMoFwqBraBiK/CuBgW8rwkhhBBCGEqOTo+/u32eBIe/uz02GsubVWoRyY3s7Gx69uzJwIED6dGjBwA+Pj7Exsbi6+tLbGws3t7e+d539OjRjB49GoCQkBCjxSyEEMKEdDplSUlOFmhswMEL1A+UmUpPgqi995MZCZHKdnt3KN8Mmr0FFVpCqQrQb/H9pSluAcrPbuXyHu8xNp+6QSNVDm75JErSrUtBjf7YX9sNf3yobHfygYotlURHxZbg4vtsz4cQQgghxL+ER93m262RfN0rmPdWnCQ6MR1/d3u+61sHD0cbU4dXaGaf3NDr9YwYMYJq1arx9ttv527v0qUL8+bN44MPPmDevHl07drVhFEKIYQwG/eKgOZJSCyCnEw4u0FZbhJ7HPQ6sHaAgMbw3ECo0AJKBz+ctPCuDiO3FZwoeYT0LC3/2xDBokNXebtNIGP6LEKzbEBuXNl9fuf/Dmaz+XQHJvZ8n7ZlspT4Lu2AC9vg5FLlQF7V7s/qKB8KNo6PT+AIIYQQQhRgZ+RNXll4hDKu9lT0cmL1mFCycrTcSs3i07DTDGpcjh51/U0dZqGo9Hq9WZdB3bt3L82aNaNWrVqo/xm0ffnllzRs2JA+ffpw9epVypUrx7JlyyhVqtQjjxUSEkJ4eLgxwhZCCGEqKXFKV5N/LyVp/yUsHwp+IVCxhZLM8K+vJAaKwOnrdxi7+BgX41N5uUVF3mkbhEalR5sSj0qbhd7KBisnLy4mpDFu6XFOX79L35CyfPJidRxtNUryIu5vuLhDSXZcOQDaTFBbw3ODoM4AWDk874wS7+pmmeAoju+/xfExCSGEKBk2nIxl3NJjVPZ2Zv6IBng63a/7pdXp6T/9IKev32HD2GaU93Q0YaQPe9T7r9knNwxJBiJCCFEC3L4MP9R5ePtrh5XlHbbORXp6nU7PnP1RTNp0FjcHa77tU4emlT0feZ+sHB1Tt53jl10XKevuwHd961CvnHvenbLT4epBJdFRoSWsf/PhBE7fhZB2S0lyOPmYTd0Oc3n/HT58OOvXr8fb25tTp04B8N5777Fu3TpsbGwIDAxkzpw5uLm5PfZY5vKYhBBCiMJYdvgaH6w6Sd0Ad2YNrY+rvfVD+8QkpdPx+z2U93Bg+StNsNGYz4WTR73/mk+UQgghxLO4fRnCXoe408oH/Qe5BYC9a5EnNuKTMxk29zD/Wx9B8ypebB7X/LGJDQAbjZrxL1Rl2cuN0en19P51P1O2RJKt1d3fydpeWZrS9nPwrJx/F5fMZFjQHaYEweQKMKcjbHgHDs+EK/shPTH/AHQ6ZcZL0jXlVqfLfz8LN3ToUDZv3pxnW9u2bTl16hQnT56kSpUqfPXVVyaKTgghhChaM/dcYvzKk4RW8mT+iAb5JjYA/NzsmdSzFiei7zBla6SRo3x6Zl9zQwghhHikWxdhzxQ4sQTUGvAMgr6/w9KBeZdsOHgVaRg7I2/y7vITJGfk8L9uNXmpYUCBnbwKUr98KTa92YwJ6yL48c8L7IyM57u+dajk7ZR3R41N/l1c3CvAkHVw84xSd+TmGTi5DDLv3t/PuYzSjcW7mjLDw6+u0tVlyQCLWOLyLJo3b05UVFSebe3atcv9vlGjRqxYscLIUQkhhBBFS6/X89228/yw/Twda5Xmu751sH1MN5QXavoyoGEAv+26RNNKnjSrXLTjKEOQ5IYQQgjLlHAB9nyjfHi3soaGL0OTscrSE53uqYuAFlZmjpZJmyKZve8yVUs7s2hUI6r4PP0MEWc7a77pXZs21bz5z6q/6fzjHj7sWI1BjcrdT5Y4eOXfxcXZF1z9oELz+wfU6+FuTN6Ex80IZTZHToaylOWPD+8nSpKuKscduU1Z2lKCzJ49m759+5o6DCGEEMJgdDo9n6+PYO7+KPqE+PNVj2Cs1E928eXjTtU5fPk2by87weY3m+HxQG0OcyTJDSGEEJYl/hzs/hpOrQArW2j0qpLUcH7gg7habZQP5hduJvPG4uOcib3L0Cbl+aBDVeysDdMX/oWavtQNcOe9FSf5JOw028/c5OtewXi72CmP70m7uKhU4OqvfFVue3+7TguJUcqsjfyWuORkGeRxWIovvvgCjUbDwIEDC9xn+vTpTJ8+HYD4+HhjhSaEEEI8lRytjvdX/s3Ko9GMaFqB/3aqVqhZpfY2VvzQ/zm6/ryPd5efYPbQ+oWelWpMxWu+qRBCiOLr5llYMQJ+bgBn10Pj12Hc39D+i7yJDSPQ6/X8fugKnX/cS9zdDGYPDeGzLjUMlti4x9vFjrnD6vO/rjU4dPkW7afuZvOpWOWX9xI4bmWV28LOTFFbgUcg2LvlX6OkiLrImKO5c+eyfv16fv/990cO2kaPHk14eDjh4eF4eZn/9FwhhBAlV2aOltcWHWXl0Wjeblul0ImNe6r5uvBRx2rsiIxnzr4owwdqQDJzQwghhHmLi4Ddk+H0GrB2gNA3ockb4Pj4Qp1FITE1iw9WneSP03E0q+zJlN61ldkURUSlUjGocXmaVPLkraXHeWXhUXrW9WdCl+qkZ+vIytFio7HCw9EG9RNOM82joCUuRVyjxFxs3ryZyZMns2vXLhwcHEwdjhBCCPHM0rJyeHnBEfacT+DTF6szLLTCMx1vcONy7Dkfz8RNZ2lYsRQ1yrgaKFLDkuSGEEII86DTQVr8/WUWGcmwfQKcWQs2ztDsbWj0Gjh6GDksPbdSs8jK0ZKZo+OL9RHsvpDARx2rMaJphadLKDyFQC8nVr7ahB+3n2fP+QT+jrnDeytOEp2Yjr+7PTMGhxDk41z4eAqzxMXC9e/fn507d5KQkIC/vz8TJkzgq6++IjMzk7ZtlSU7jRo14tdffzVxpEIIIcTTuZOWzbC5f3H8WhLf9K5Nr3r+z3xMlUrF5F616fD9bt5YfIz1bzTFwcb8UgkqvV6vN3UQxiI96YUQwkzpdEqRywdnD3T5CXZPgYAG0GgMOJQyQVh6IuOSGTU/PDeJ8E3v2ng62VDJu2jbyj7K5YRUBs06RHRieu42f3d7Vo8JxcvZ/Ip9Fcf33+L4mIQQQli2+ORMBs06xKX4VH7oX4cXavoa9Pj7LyQwcNYh+oaUZWLPYIMe+0k96v23+F2WEUIIYXnS4u8nNkC5Xfs69PgVnv+vSRIber2eq7fTchMbANGJ6by7/ASu9qatR2FjpcqT2AAltrSsHBNFJIQQQghTik5Mo89vB7hyK41ZQ0MMntgAaFLJk1dbBLLk8DU2nIw1+PGflSQ3hBBCmF5OZv4dO3Rao4dy7XYaP2w/z/NTdhF3NyPfJEJWjvHjepCNxgp/d/s82/zd7Tl7I5lXFhzh6NVEE0UmhBBCCGPQ6fTEJ2cSk5jGtdtpfBp2ilspmSwc2ZBmlYuubtZbbatQp6wbH6w6SXRiWpGd52lIckMIIYRpZWfcX4ryICN27LiTns3iv67S59cDNJu8g2+3nsPHxRYXe+t8kwg2GsN2RSksD0cbZgwOyY3N392e3wbV4+bddPZfTKDHtP30+fUA2yLi0OlKzOpTIYQQokS4t2y2+7R9hE7aQf8ZBxnZrCKrx4RSr5x7kZ7b2krND/2eQ6+HN5ccJ0erK9LzFYb5VQERQghRcmTcgcUDQJsBvebAimFG69iRrdWxKzKe1cdi2HomjqwcHYFejrzXPohuz/nh52aPTqdnxuCQPDU3ZgwOwcPRtMtS1GoVQT7OrB4TmqdbSo0yrnSvW5alh68xe+9lRs4Pp5K3E6ObVaTrc2WwNXFSRgghhBDP7lZq1kPLZt9bcZLVY0KNcv4ADwe+6F6TN5cc54c/L/B22ypGOe/jSHJDCCGEaaTchIU94OYZ6P4blKlb5B079Ho9f8fcYdXRGNaduM6t1CxKOdowoEEAPer6UcvPNU8P+IKSCMbqkPIoarUq3+KhTrYaRjStwODG5dhwMpbfdl9i/MqTfLMlkmGhFRjQMABXe2sTRCyEEEIIQ8jK0Zp82WzXOn7sPpfAT3+eJzTQg4YVjdvNLj+S3BBCCGF8iVGwoDsk34D+S6FyG2W7k49BDv9g+1YbjRU6vZ4VR6JZdTSai/Gp2GjUtK3mQ4+6fjSv4oW1VcFJlIKSCObO2kpNt+f86FqnDHsvJPDbrktM2nyWn3dcoH+DsgxvWgFfV/vHH0gIIYQQZuVe7a1/d00z9rLZCV1rcPRqIuOWHmfTm81wczDtzFZJbgghhDCuuNOwoAdoM2HwWihb36CHz69966SewWyLiMPD0ZZRzSrSoZZviZm9oFKpaFbZi2aVvTgVc4cZey4xe18Uc/ZF0aV2GUa3qEgVb+c8ySBzmZ0ihBBCiIddTkhhUs9g3l950qTLZp1sNfzQ7zl6/LKP91ee5NeX6uWZAWtsktwQQghhPFcOwOK+YO0IwzaDd1WDnyK/dajvrzzJktGN8Hd3MPj5LElNP1e+7/cc77YLYva+yyz56xqXE1L5T8eqvL3sRJ4BUpCPsyQ4hBBCCDOTmJrFa4uO0aRiKVa+2oQcrc6kFyZq+bsyvn1Vvth4hkV/XWVgw3JGj+EeSW48A51WizYlHpU2E72VLVZOXqitpFibEELkK3IzLB8Crv4waPXD3VEM5E56Vr7rUOVj+n1lSznw6Ys1eLN1Za7dTuPV34/mSQaNmh/O6jGhFrkcRwghhCjOPg47RVJaFi+3qISPi52pwwFgRNMK7D4fz+frIqhfvhRVfJxNEoe0gn1KOq0WXVwE1nPaovkhGOs5bdHFRaDTGq+IixBCWIzji2HJAPCuBsP/KJLERo5Wx1ebznAxPtUs27eaIzcHG0o52pi8KJlQllPFJ2cSk5hGfHKmtPAVQgjxkHUnrrP+ZCzj2lShehkXU4eTS61WMaVPbZztNIxdfIyMbNOMISS58ZS0KfFolg1QWhYCJF1Fs2wA2pR40wYmhBDmZv9PsOYVKN8UhqwDR0+Dn+JmcgYvzTrEb7sucelmCtMHheQmOMylfau5uleU7EGSDDKue3Viuk/bR+ikHXSfto/IuGRJcAghhMh1824GH4edok5ZN15uXtHU4TzE29mOb3rXpo6fCzl348i5fYXsOzeMevFflqU8JZU2835i456kq6i0WaYJSAghzI1eD9snwN7voHpX6DEDNIZf5vDX5du8vugodzOy+bZPbXrU9Uen05tl+1Zz5OFow4zBIXkKsEoyyLjyqxMjS4OEEELco9freX/lSTKytUzpUxvNI7q8mVLzSh6EOt/AekF75bOyWwA5fRaBT3WjlG+Q5MZT0lvZKtOqH0xwuAWgT74B1jbgXNp0wQkhhKlpc2D9ODi2AOoNg05TQG3YNzW9Xs/MPZeZuPksAaUcmD+iAVVLK1M0LbV9qymo1SqCfJwlGWRCWTlaWRokhBCiQMvCr7EjMp5PX6xOoJeTqcMpkDb5JtbLBj60uiF72FbUrkX/+ViSG0/JysmLnD6L7i9NcQtA13066q0fkhVzAn3dodi2eBtcfE0dqhBCGFd2BqwcAWfXQ/Px0OpDMHBbsLsZ2YxffpLNp2/wQo3STO4djItdyWjtWhQkGWRa95YGPZjg8He351piOrbWVng6yb+NEEKUVNdup/H5uggaV/RgSOPyRXMSnQ7S4iEnCzQ24OAF6kfMDslKg1sXIOEcJJzPvdV0nGTS1Q2S3HhKaisr8KlO9rCtqLRZ6K1swNGT330+wvHKd3Q/MhPtsblY1R8OoeMkySGEKBky7iqFQ6P2wAuToNErBj/F2Rt3eXXhUa7eTuOjjtUY2ayCSXuqC/Gs8lsa9GP/5/hy4xkuJ6Tyda/atKrqbeowhRBCGJlOp+fd5SdQqVR83Tu4aGZV6nRwMwKW9M+9aE+/xUoR+NT4PMmL3Ns7DyYwVOBeDjyroFNZY5Xf6gYr4yx1leTGM1BbWT00vWboi604Vbcuw5dsplPiInodmoE6fA6qekOh6ThwKWOSWIUQokg8mOlXqWD7/+DqAegxE4J7G/x0q45G8+Hqv3Gxs2bxqEY0qFDK4OcQwtgKWhr0v241GbfkOMPmHmZQo3J82LEa9jZS6FUIIUqKOfujOHT5NpN7BePv7lA0J0mLv5/YAOV2SX/lItWS/vf3s3YEz8oQ0BA8Bynfe1aBUoFgrbSkVWm1D61uyOmzCCsnr6KJ/V8kuVEEavq5MuPNXkzdVpvnd+3nXYcNdDo8C/WRuVBvCDR9S5IcQgjLl1+mv8tPEDIMAhoZ9FSZOVo+XxfB74eu0rBCKX4c8BzezubR210IQ8hvaVDV0i6seS2Ur/+IZNbeyxy4dIupfetQ08/VRFEKIYQwlgs3U5i8+SxtqnnTu55/0Z0oJ/9GGbj6QYev7ycxXMo8dplxfqsbrJy8jFJMFKQVbJGx1Vjx/gtV+e7V7nxn/wbNM77hiFs79OGz4fvasOFduBNj6jCFEOLp5ZfpX/s6lKpg0NNcu51G718P8Puhq7zSIpDfRzaUxIYofnQ6SImDpGvKrU4HgJ21FR93rs7CEQ1Jzsim+7R9/LLzIlppEyuEEMVWjlbHO8uO42BjxZc9ahXd8ttzWyD+rHKB6kFuAUqDjIajIbCVkuh4whjUVlZYu5ZGUyoAa9fSRktsgCQ3ilzdAHc2jG1GuyYN6RnTn/62PxMf2AOOzIEf6sCGd+BOdIGDGiGEMFs5Wfln+nMMVzRqR+RNXvxpL5cTUpk+qB4fdKhqtu3PhHhq92ZBzWwDU2sqtzcj8owFmlb2ZPObzWlTzYdJm88yYMZBYpLSH3FQIYQQlmrazouciL7D/3WrVTQXdO7EwNKXYFFvOLYI+sy/n+C4V3PDwThLSQxJlqUYgb2NFZ+8WJ221X14b8UJGvzdhXcb9OFldRiaI3PhxiloOwFWjfpXEZfqj65SK4QQpqTLzrclNpqnKxql0+m5lZpFVo4Wa42abadv8FHYaYJ8nPn1pXqU93Q0UOBCmJmC1juP3AZOPrm7uTvaMG1gXVYcieaztad5Yepuvuheiy61ZamrEEIUF6di7vDD9vN0qV2GTsEGbkqhzYZDv8KOr0Cvhec/hiZjQa1R3nOetFuKmbK8iC1Y40APNo9rTv8GAXx9KIMXLvYkotcuaPv5/cQG3B/UpMWbNmAhhCjIlf0QNha6TjNIpl+n0xMZl0z3afsInbSDHtP2U87TiXGtK7N6TKgkNkTxVtAsqOQ4ZcpwZkruZpVKRe+Qsmx8sxmVvZ0Yu/gY45Yc425GtpGDFkIIYWiZOVreWXaCUo42fN61hmEPfvUQ/NYCtvwXyjeF1w5B83eVZIZarSTT3coqtxaY2ACZuWF0TrYavuxei/Y1SvP+ipO8uPAqR9+oimsRT+0WQgiDubQTFvcHV390HlXQ/rto1GPeEPV6PalZWm6nZHErNZNbKVn4udvntsEEiE5M5/2VJ1k9pol0hxDFn8Ym/1lQd64prZXVGvALgYotoEIL8A+hnIcjy15uzE87LvDjnxc4HJXId33rSAchIYSwYN9uPUdkXDJzhtXHzcFA7VPTbsPWT+DYAnDxg74LoWrnJ66hYUkkuWEiLap48cdbzfl8XQSxqTpcC+gHXPz+5IQQFu3cFmWNpkcldC+tJjL1flLC392eXwbWJS1Ly5VbadxKzeJWSia3U7OU71Mz/0loZJGZk7eu0NLRjXITG/dEJ6aTlSP1h0QJ4OClzHp6sPNQv8XgEQiD1sDlXXBpF+z+GnZNAo09lGuMpkILxlVvQfNKDXhr+d/0m36AV1sG8ubzlVClJaDSZqK3sjVqpXohhBBPJzzqNtN3X6J/g7K0CvJ+9gPqdHD8dyWxkXEHmrwBLT4AW6dnP7aZMvvkxvDhw1m/fj3e3t6cOnUKgOPHj/PKK6+QkZGBRqNh2rRpNGjQwMSRFp6rvTVT+tTm2q0UkrrOwy1sSJ52ipnhv2PXYpzFTgsSQhQzZ9bB8mHgUx0GreGW1pFR8/flmW3x6u9H+bhzdcavPAmAvbUVpRxt8HCywcvJliAfFzycbPBwtMnd7uFoi4eTDf7u9nkSHP7u9tho5AOZKAHUaqXOVn7rnQNbKV8A6UlwZZ+S6Li8C7Z9CkBdOze2B4Sy3qUKFxM1qG5mYb18YO6YIqfPIvCpLgkOIYQwU6mZObyz/AT+7vZ81Kn6sx8w7jSsfxuuHYSyjaDzt+Bj4GUuZsjskxtDhw7l9ddfZ/Dgwbnbxo8fz6effkqHDh3YuHEj48ePZ+fOnaYL8hmp1WqGbUzlv22X4+2g4maanitbFtPjxlRIOgddfgIrs/+nEkIUZ3+vgFWjwa8uDFwB9m5kJablO9uiio8Te8a3wsPJBgebJ3vt0un0zBgckmcWyIzBIXg4GmhKphDm7t5650exd4OqnZQvUGpyXN4Nl3eiubSbbnc2QPN6cC+xAZB0Fc2yAWQP24ratXSRPgQhhBBP56tNZ7h6O40loxrhZPsMn/syU2DXRDgwDexcoevPUHtAiblYbvafmJs3b05UVFSebSqVirt37wJw584dypSx7CrhNhor4lOy6bngYu42f7fmtG9ii+P+SZCVCj1nPXUHAiGEeCbHF0HYaxDQGAYsBVtnADRW6nxnWzjZWuPlbFuoU6jVKoJ8nFk9JpSsHC02Gis8HG1Qq2VxnhAFcvaB4N7Kl14PiVFos9KxyqeOlyojkTvY4erqZpJQhRBC5G/3uXgWHrzKyKYVaFjR48nvqNMpDSjuzfiLj4TVr8LdaKg7GNpMAIeSVYfJ7JMb+Zk6dSrt27fn3XffRafTsX///gL3nT59OtOnTwcgPt48u494ONo8dMVySu/aaMq2BCcX2PIRLB2o9B+2tjd1uEKIkiR8Nqx/Cyq2VGoA2Djk/mrjyetM6hnM+ytPGmS2hVqtKnRSRAjxD5UKSlVAd+cGVvnU8dLcvoDNkuYcd26Ebe2eBDXridrO2XTxCiGE4E56NuNXnKSStxPvtg968jvqdHAzIm+tpi4/QbkmUH8kBDQsuqDNmEUmN3755Re+++47evbsybJlyxgxYgTbtm3Ld9/Ro0czevRoAEJCQowZ5hP79xXL1Ewt7688SbUyLnzZ/XWwcVQ+XPzeG/ovzr1qKoQQRergL7D5A6jc/p/kql3ur/ZdSGDC+jN88EKQzLYQwoxYOXmR02cRmmUDHqi58Tu37qZy2aszgQl/4rVvNxn73uNqqVDc6/fGq27XYl1gTgghzNWEtaeJT8lk+uB62FkXoi5SWvz9xAYot2tfhxFbwbnkLkG0yOTGvHnz+P777wHo3bs3I0eONHFEz+7fVywbBXrwy86L1CjjwsCGw5QEx+pXYEF3GLgc7N1NGK0Qotjb8y1snwDVujy0LC4pLYt3lp2gopcjQ5pUkFatQpgRtZUV+FQn+18tmn3KWOFTtTEZmVns27uJtGMrCb61C68/dpD1xzjiSzfHs2EfbKt3lIsoQghhBJtP3WDVsRjGtq5MsL9b4e6ck5l3hh4oP2uzDRafJbLI5EaZMmXYtWsXLVu25M8//6Ry5cqmDsng3m0XRMT1u3y29jRVfJypH9xHWZKyYjjMe1FpDefoaeowhRDFjV4POycqxahq9YZuv+YpaKzX6/lo9SkSUjJZPThUEhtCmCG1lVWBxUPtbG0Ibd0VWnclNimVVTs2oj+9mqax+7AN20b2WhtSyrbELaQ3qqAO6DQOaFPiDdJWVqfTcys1S2Z6CSFKrHuvg+nZOVhbqehRtwxvPF+pcAdJugYJF5SlKP9agljSazSafXKjf//+7Ny5k4SEBPz9/ZkwYQIzZszgzTffJCcnBzs7u9yaGsWJlVrFD/2eo+vPe3l14VHWvRGKb7UXlWUpS16COR1gcBi4WHYxVSGEGdHrldaS+76H516CF38Add4PMauOxrDh71jGvxBELX9XEwUqhDAEXzdHenTvjb5bLw5fvsWK3ZtwubyBtlcOorq6Ba1/I1RtPsV6zcvP3FZWp9MTGZf8UEekIB9nSXAIIUqE/F4Hf32pHlaqQrwGXt4Dy4eAd03oPU/5/l7NjX6LlTbiJZhKr9frTR2EsYSEhBAeHm7qMArlfFwy3X7eR6C3E8tebqysxYraB4v6gIMHDFkL7uVNHaYQwtLp9Up9jUO/QsgI6PjNQ23Drt1Oo8P3e6hexoXFoxphJR9IxBMyl/ff4cOHs379ery9vTl16hQAt2/fpm/fvkRFRVG+fHmWLVuGu/vjl36ay2MytNTMHDaejOHkwa181LkmdmGjHroymPLSZj7adhOdXhmsa3V6dHrlS/me3O+1Oj16PYxtU5kP/ik+fI+/uz2rx4RKIWEhRIkQn5xJ92n7nu51UK9Xxmh/fAQegdBvEZQKzNstxcGrRLR8fdT7b/F/9Bauso8z3/Wtw8noO3y0+hR6vR7Kh8LgtZBxB2Z3gPhzpg5TCGHJdDpYP05502z8OnSa8tCbY45Wx1tLj6NSwbd9aktiQ1ikoUOHsnnz5jzbJk6cSOvWrTl//jytW7dm4sSJJorOPDjaauhdvxz/e2MkGlfffNd022Xd5sLVaE7H3OHsjbtcSkjh6u00ridlkJCSRVJ6NimZOWTl6NCjzEZ1srXKM6AHiE5MJytHa7wHJ4QQJpSVo32618HsdKX24uYPoMoLMHI7eFZWxmpOPuBWVrktAYmNxzH7ZSkC2tUozbg2lZm67Tw1yrgwvGkF8K8HQzfAgm7/LFFZA6VrmTpUIYQleLAvupU1hM+FI3Oh2bvw/H+VlpL/8svOi4RfSeT7fnXwd3d46PdCWILmzZsTFRWVZ1tYWBg7d+4EYMiQIbRs2ZJJkyYZPzgzpLeyzXdNt+ZOFBu0YyDkZWj4Kjh6PPZY8cmZ+LvbP3TF0kYjdXuEECWDHgr/Oph0FZYMhBsnoeWH0Pw9SWI8gjwzFmLs85VpW92HLzaeYf+FBGVj6ZowbBNobGFuJ4guftNjhRAGdq8v+sw2MLUmzGoL5RorvdFbf5xvYuP4tSSmbj9Pl9pl6FrHzwRBC1F04uLi8PX1BaB06dLExcWZOCLzca+tLG4ByoZ/am7oPKpAYCvY/Q1MrQVb/gvJj37ePBxtmDE4BH93e0AZ0E/uFUxyRsmu7C+EKBnuZmQzadNZJvcKzvM6OGNwCB6OBRQBvbwbpreExCjovxRavi+JjceQmhsWJDkjm+7T9nMrJZO1rzelbKl/rp4mXoH5XSA1AQYshfJNTRuoEMJ8pcQpiY1/V9ceuU2Z0vgvqZk5dPphD1k5OjaNa46rvbURgxXFhTm9/0ZFRdG5c+fcmhtubm4kJSXl/t7d3Z3ExMR87zt9+vTcIubx8fFcuXKlyOM1NZ1W+0+3lPttZXOLid48C3u/hb+Xg9oa6g2B0DfB1T//Yz3QLUUPfBp2ihPRd1j6cmMCvZyM96CEEMKIcrQ6RswLZ9+FBFa+2pgybg6P7hql18PBabDlY/CopNTX8CxkR5ViTGpuFBPOdtbMGBxCjk7P6AVHSMvKUX7hXg6GbQYXP1jYE64eUj7AJF1TbnU60wYuhDAfOVn590XPycp39//bEMGV22l827eOJDZEseTj40NsbCwAsbGxeHt7F7jv6NGjCQ8PJzw8HC+vklGRXm1lhbVraTSlArB2LZ23S4p3VegxHV4Ph+A+ED4bvq8Da8fC7csPH0utwsvZFj93B/zdHfiwU3UAXpp5iGu304z0iIQQwrj+b8MZdp2L5/OuNald1j33ddDL2fbhxEZWGqwaDX98CEEdlItPkth4YpLcsDAVPB35of9znL1xl/ErTpI78cbFF4ZthOrdICfj/pTzmW2UKeiS4BBCgFJN+94U83sK6Iu+5fQNFv91jZebB9Ko4uPX1Athibp06cK8efMAmDdvHl27djVxRBbIIxC6/gRjj0O9oXBiCfxYD1a9DPGRBd4t0MuJ+cMbkpqZw0uzDnHzbobRQhZCCGNYePAKc/dHMTy0AgMaBjx658QrMLudMhuu1X+hzwKwczFOoMWEJDcsUKsgb95rH8T6k7H8uuvS/V84ekKbT2Ht6/evzCZdhSX9leKBQgiRlabU13hgDX1+fdFvJmfwwaq/qVHGhbfbVjFBoEIYXv/+/WncuDGRkZH4+/sza9YsPvjgA7Zu3UrlypXZtm0bH3zwganDtFxuZaHTN/DmCWj0KpxZCz83hGVD4MYp5ULLv2aWVi/jwrzhDUhIzmTgzEPcTs1/FpkQQliavecT+HTtaVoFefFRp2qP3vnSzn/qa1xVygy0kMKhT0O6pVioV1sEcvr6XSb/cZZqvs60DPpnGq1OW6gp50KIEiQrFRb1BdeyMHQToM+3L7per+e95SdJzczh+351sNHIm6soHhYvXpzv9u3btxs5kmLOxRfafwFN31LWjR+aDnejoe3/YPXLyrjkXmLVuzrPBbgzc0h9hs75i8GzD7FoVCNc7GQZnBDCcl2MT2HM70eo5OXED/2fw+rfy0/u0evhwM+w9WPwrKLU1/AING6wxYiMWC2USqXi617BBPk4M3bxMS4npCq/KMSUcyFECaLXw/q3IeEchL4Bbv4F9kWff+AKu87F899O1ajk7WyigIUQFs/RE1p/Am/9DR2+uZ/YgIdmljYO9ODXl+oReSOZ4XMO368rJoQQFiYxNYsRcw9jbaVm5pAQnB9M1j44g+1uLPz5BWz5CKp2UuprSGLjmUhyw4I52GiYMTgEK7WK0fPDScnMUa7A9lucd8p5l5/gdpRJYxVCmNjR+XByCbT8D1RsWeBu5+OS+XLjGVoFefFSo3LGi08IUXzZuyuJjsfMLG1V1Zvv+z3H0auJvLzgCBnZWiMHKoQQzyYrR8ervx/helIGvw2qd7+7JSiJjZsR92sjzm4HFZpBl5+V+hq2ckHpWUlyw8KVLeXATwPqcikhlbeXHkeHCryrK5m/cadg+B9wfBHMe1FZyyWEKHliT8LG96BiK2j+boG7ZeZoeXPJcZxsNUzuVRuVqoAplEIIUVgFzSzNztslpWMtXyb3qs2e8wm8sfgY2VopiC6EsAx6vZ5Pwk5x8NJtJvWqRUj5Unl3SItXZqw9OINt7etQpS3ImMsgJLlRDIRW8uTDjtXYEhHHD3+eV6aYO/koU85dykD7L5UeyYv6QdQ+U4crhDCmjDuwfAg4lIIeM0BtVeCu3245R0TsXSb1DMbL2daIQQohir38ZpZ2+wXCxsC2CaC9vwylVz1/Pu9ag60Rcby7/ARand5EQQshxJObtfcySw5f4/VWlej+nP/DO+RkSW3EIiYFRYuJ4aHlOX39DlO3nadhhVJU8nYmK0eLjcYKD8dSqAeHwdyOsKgPDFoNZRuYOmQhRFHT62HtG0prsaHrwcmrwF33X0xg+p5LDGgYQJvqPkYMUghRIqjV92eW5mQpMzlsXZVte7+F6MPQazY4KQXSBzcuT0pmDpM3R+JgY8WX3WvJbDIhhNnafiaOLzaeoWOt0gV3mdPlKIndBxMcUhvRoGTmRjGhUqn4snstetX1Q6+H7tP2ETppB92n7SMyLhmdgycMXqsMGhb2hJgjpg5ZCFHU/poOEWFKQb9yTQrc7U5aNu8sO0EFD0f++7hWZUII8bQenFnq5APWdtDlR+g6TUlu/NYcrhzI3X1My0q81iqQxX9d4/82nEGvlxkcQgjzcyb2LmMXH6NmGVem9K6DOr/OKAkXYMN7yuvdgzPY+i1WZrYJg5DkRjFiZ23FW22rMH7lSaIT0wGITkxn1PxwbqVmKa3ZhqxTCnst6K6swxdCFE/RR+CPj6DKC9BkbIG76fV6PlrzN/HJmUztVwcHG5nQJ4QwsucGKjM6rO1hbifY/5My8wx4t10QQ5uUZ9bey3y37byJAxVCiLzikzMZOS8cJzul0YO9TT7Lf5OuwvyuEHsUXMver404cpsye00tH8kNRZ7JYuheYuPBn7Ny/qk47uqvJDhsnJX/ZHERJohQCFGk0m7D8qHg7KusaX/Em+aa4zGsPxnLuDaVCfZ3M1qIQgiRR+laMHonBHVQ2iIuGwwZd1GpVHzSuTq96/nzw/bzTN990dSRCiEEABnZWkYvCOdWaiYzB9entKvdwzsl31A+c2UmK6UBSpXPO4NNEhsGJc9mMWOjscLf3T7PNn93e2w0D2QR3cvBkLWgsYX5XSD+nJGjFEIUGZ0O1rwKybHQe65SSPShXfTEJ2dy5VYqzrYa+jfw59WWlYwfqxBCPMjOFfouhLb/g7MbYHpLiDuNWq1iYs9gOgX78uXGsyw8eMXUkQohSji9Xs/4FSc5djWJqX3rUMvf9eGd0m4rs+WT4+ClFeBb2/iBljCS3ChmPBxtmDE4JDfB4e9uz4zBIXg4/qtQjUegUoMDldIm9pZcCRGiWDjwI5zbDO2/AP96D/1ap9MTGZdM92n7aPH1Tj5bF8FLDcsjZfqEEGZBpYLQscos06wUmNEaji/GSq3iuz51eL6qNx+HnWLH2TjikzOJSUwjPjkTnXRUEUIY0Y9/XmDtieu81z6IF2r6PrxDxl1Y2EP5jNV/kTRzMBJJbhQzarWKIB9nVo8JZePYpnzcuTp21lb5F7bxqgKDw0CbBfO6KB0VhBCW68oBpaVi9a7QYHS+u9xKzWLU/PA8dXleXnhEqcsjhBDmonwovLwH/ENgzSuw7k1s9FlMG1iXgQ0CsNFYPVw8XRIcQggjWH/yOt9uPUeP5/wY0zLw4R2y0mBRX7jxN/SZBxVbGj3GkkqSG8WQWq3Cy9kWX1d73l12gq82nil4Z5/qSoIjKwXmdYY70cYLVAhhOKkJsGKYsuysy4/K1c98ZOVoH12XRwghzIWzDwxaA6Hj4MhcmN0eu5RrvP58Zd4vqHi6EEIUoRPXknhn2QnqlXPnq575tKjOyYSlL8HVA9D9N6WOkDAaSW4UY+6ONoxuXpEtEXEcv5ZU8I6+wUqBm/QkZYnK3VhjhSiEMASdFlaNUtZ29p6nrFsvgLVG/fi6PEIIYS6sNNB2gtIu8fZl+K0Fmotb8HKyZuWgQPa8XImVgwLxcrLmbnq2zN4QQhjcvVplV2+lcislkxZVPPltUD1s/z120ubAyhFwcTt0+QFq9TJNwCWYJDeKuWFNK+DhaMM3f0Q+eke/uvDSSki5qRQZTblpnACFEM9uzxS4+Cd0nKwkKx9h//kEJvUMfnxdHiGEMCdVO8LLO8GtLJ5Hv2dxBw31tvam7LwG1NvamzkdHYlPTqfVlJ38tusit2UWhxDCAB6sVdb86518svY0Y1tXoZSDzb93hLDX4Mw6aP8V1B1smoBLOEluFHNOthrGtKrE3gsJ7L+Q8OidyzaAAcuUpSnzu0LqLeMEKYR4epd2wo4vIbgv1B3y6F3jU3h/1d/sjLzJ6jFN2Pd+K1aPCSXIxzn/ujxCCGFOSlWEEVvRt/sCu7WjIemqsj3pKm5hQ6jmkomPix1fbTpLo6+289bS4xy5chu9XmZzCCGeTn61yl75d60yvR42vQcnl0Crj6DxGBNFKyS5UQIMbBiAr6sdk/+IfPwbfPlQ6L8Ybl+CBV0h4w6kxEHSNeVWpzNO0EKIx0u+AStHgmcV6PRtgXU2ALQ6pWWZrUbNqGYV8XK2w8/dAS9nW0lsCCEsh7U9Khe/+4mNe5Ku4mqtZ9nLjdnyVnP61y/L1og4ev5ygI4/7OX3Q1dIzcwxTcxCCIv12Fplej1s+wwOz4QmY6H5e8YPUuSS5EYJYGdtxZutK3P8WhLbzjzBcpOKLaHv72DtCDdOwcw2MLWmcnszQhIcQpgDbQ6sGA5ZqdBnPtg6PXL3efujCL+SyKcv1sDbxc5IQQohRBHQ2IBbQN5tbgGgU5IXVXycmdC1Joc+bM2X3WuhAj5afYqGX27n4zWniLyRbPyYhRAWyUZj9ehaZXu+gX1TIWQ4tP38kReaRNGT5EYJ0auePxU8Hfnmj8gnK7ZVuY1SCGfNK3mmfbKkP6TFF22wQojH2/EFXNkHnb8D76qP3DUqIZXJf5ylVZAXPer6GSlAIYQoIg5eSoHRewkOtwDo+rNSWHnzh5CZAoCjrYYBDQPYMLYpq8Y0oV0NH5aGX6P91N30/nU/YcdjyMzR5hYLjElMIz45U4qSCiFyeTjaMLVvnfxrlR38Ff78P2VpcMcpktgwAxpTByCMQ2Ol5u22VXhj8THWnbxO1zpP8AHH2iHfaZ/kSJEuIUzq3BbY+61SrKp2v0fuqtPpGb/yJNZqNV/2yKdlmRBCWBq1Gryrw8htyphEYwMaO/CpCQd/hogwpcBy1U4AqFQq6ga4UzfAnY87VWf5kWv8fugqby45TovKnoxtU4U3lxwjOjE994OL1CISQgBkaXV8uzWS7/rWoYyrHTYaKzwcbVAfXwib34eqnaHrNOV1SZic/CuUIJ1q+VLN14Vvt54jW/sES0sKmvapka4KQhidTqfUvbl9GfRaqNUHOkx+7N0WHrrCX5dv83Hn6vi62j92fyGEsAhqNTj5gFtZ5dbOFV6cCiO2Kt8vGQCLByhF0h/g7mjD6OaB7HinJfOHN+DVVpVyExugrKUfNT88b7FAIUSJtePsTfZfvE1GtvZ+rbKI1bBuLAQ+D71mKy2rhVmQ5EYJolareK99Fa7cSmNZ+LXH3yG/aZ9dfoKbZ4o2UCFEXjqdUu9mZhv4oQ5sGg9NXgcr20fe7drtNCZuOkvzKl70DvE3TqxCCGFKZRvAy7uUte8X/4SfGsCBn5U6RQ9Qq1U0r+JFWXf7fIsFZmRrjRm1EMJMrT4Ww/NBnjQtrVMaLMRHKstRyjZUahRqHj0WE8YlyY0SplWQN/XKufPD9vOPf+N+cNrnuFMwbBP8vVxpE7tnilIdWAhR9NLilXo3D9a/WfrSI+vf6PV63l95ErVKxVeyHEUIUZJYWUPom/DaISjfFP74EGa0gpgjD+1aULHAyLhkZu29TGaOJDmEKKmS0rJITMvgx9Z2qGb902Dh917Q5hMYsAxsHEwdovgXs09uDB8+HG9vb2rWrJln+48//kjVqlWpUaMG48ePN1F0lkelUvFe+yDi7may4MCVx9/hwWmfrv7Q8Ruo2Qu2fw5rxkBOZtEHLURJl5Fc6Po3i/66yv6Lt/iwYzX83GQ5ihCiBHIvBwOWKh2lUuNhRmvY+J7S5v4fHo42zBgckqdY4C8v1WPPuXj+tz6CNt/uYt2J61JkVIgSaMPfsXzQzBPHVS/lvcC05lXISX/0nYVJmH1yY+jQoWzevDnPth07dhAWFsaJEyc4ffo07777romis0yNKnrQvIoX03ZeIDkju3B3traDnjOh5YdwYhHM7wapt4okTiFKPL0eDv4C8WcLVf8mOjGNLzecIbSSB/0blDVCoEIIYaZUKqjeFV77CxqMhr9mKEtVTq8BvR61WkWQjzOrx4Sy7/1WrB4TSg1fFyZ0rcn84Q1wtNHwxuJjdJ+2j4OXZLwjREmy5lgMfs5W0mDBgph9cqN58+aUKlUqz7ZffvmFDz74AFtbZY2Tt7e3KUKzaO+1CyIxLZuZey4X/s4qFbR8H3rOUqZ4zmwN8ecMH6QQJVlmCqwcAZs/gKsHoe+ivPVv+i1W6uL8i16v5z+r/kYPTOwRLMtRhBACwM5F6aAy6k9w9oHlQ2BRH0i8gho9Xqok/FS38FIloUaZpdG8ihcbxjbjm961uZmcSb/pBxkx9zDn4pJN/GCEEEXt2u00DkclYqXSS4MFC2L2yY38nDt3jj179tCwYUNatGjB4cOHTR2Sxanl70qHmqWZuecSt5+2InitXjB0A2SlKIUOL+4wbJBClFTx55Sk4enV0PoTpTCeT4379W9GblPq4eTTdmxZ+DX2nE/gPx2qUraUrAUVQog8/OrCyD+h/VdwZT+sfvWfCzX/rKef2UYp4KxTuspZqVX0qufPjndb8v4LVfnr8m1emLqbD1aeJO5uhokfjBCiqIQdj6GsKo5SOz+Crj8/0QUmYXoWmdzIycnh9u3bHDx4kK+//po+ffqgL6C45fTp0wkJCSEkJIT4+IKL75VEb7etQnq2ll92Xnj6g5Str1wFcfWDhT3h8CzDBShESXR6jVL4LjUBBq2GZu8oSYx/tz3MJ7EReyed/1t/hkYVSzGwYTnjxy6EEJbASgONxyhLVZ7/EFYOz7uefkn/hwo221lb8WrLQHaNb8XQJhVYeTSall/v5NstkaRk5uRzEiGEpdLr9ew5cpIVDpOwivkLXMo80QUmYXoW+a/i7+9Pjx49UKlUNGjQALVaTUJCQr77jh49mvDwcMLDw/Hykgzbgyr7ONP9OX/mHbhC7J1nKIrjFgDD/1B6PW94Gzb/B3RSXVyIQtFmwx8fKVOlvarCy7uhYssnvvu95Sg5Oj2TegajVstyFCGEeCRXP3ArV6j19KUcbfjkxepse7sFrat588OfF2j59Q4WHIgiW6tDp9MTn5xJTGIa8cmZUohUCAt05sIlvkj+L6VUyTBoFXhUeuwFJmEeLPJfplu3buzYoSyBOHfuHFlZWXh6epo4Kss0rk1l9Ho9P/75DLM3QFnL2n8JNHwVDk6Dxf0hU9akCvFEkuNgXhc48BPUH6W0XXb1K9QhVhyJZmdkPONfCKKch2MRBSqEEMWMxuap1tOX83DkpwF1WfNaKBW9nPg47DRvLj7G3zF36D5tH6GTdtB92j4i45IlwSGEJUlPpNSqvvipEsjsvRj86pk6IlEIZp/c6N+/P40bNyYyMhJ/f39mzZrF8OHDuXTpEjVr1qRfv37MmzdPiuY9pbKlHBjQIIBlh68RlZD6bAez0kCHidBpClzYBrPaP3w1RAiR15X98FszuH4MesyATt8UukhV3N0M/rc+ggblSzGkcfmiiVMIIYojBy9l/fyD6+m7/AR3Yp7o7nXKurF0dCNmDg6hb/2yvLboKNGJymzY6MR0Rs0P59bT1jYTQhhXZjL6hb0plX6ZGWX+h1NQC1NHJApJY+oAHmfx4sX5bl+4cKGRIym+Xnu+EkvDr/HdtnN83++5Zz9g/ZHgXgGWD1V6yvdfDP4hz35cIYoTvV6Z5bTlY3Avp9TX8KnxFIfR8+Gqv8nM0TGplyxHEUKIQlGrlfXzI7cpS1FUKtjyCURugL4LoXLbxx5CpVLRproP0YlpuYmNe6IT08nKkaW6Qpi97HRl5vn1o7yRNZbuod1MHZF4CmY/c0MUPW9nO4aFVmDtieucib1rmINWag0jtoK1PczpCKdWKpXHU+Ig6Zpy+08lciFKnMxkWDEM/vgQgjrA6J1PldgAWHM8hu1nb/Je+yAqeMpyFCGe1nfffUeNGjWoWbMm/fv3JyNDOmGUGA8WbHb1h45fg2cV5YNOxNonPoytxgp/d/s82/zd7bHRWBk6YiGEIeVkwbLBELWXhb7/4YBNY1pVlVqNlkiSGwKAl5tXxMlWw5Qt5wx3UO+qSicVv7rKFeqY8AJbrQlRYsRHwoznISIM2kxQrgzauT7VoW4mZ/DZ2gjqBrgxLLSCgQMVouSIiYnhhx9+IDw8nFOnTqHValmyZImpwxKm4ugBQ9Yp45flQ+HE0ie6m4ejDTMGh+QmOPzd7fl5QF08HAu31FAIYUTaHFg1Es5vIfOFKXx5rRadgstgK0lJiyTJDQGAm4MNLzevyLYzcRy9mmi4Azt6wuAwaPt/sHLEY1utCVGs/Hu20oU/lcRG2m0YtAaajlOmQD8FvV7Pf1efIj1by+RetbGS5ShCPJOcnBzS09PJyckhLS2NMmXKmDokYUr2bvDSKigfCqtfhvA5j72LWq0iyMeZ1WNC2ft+Kyb2qMXETWe4cjut6OMVQhSeTgdr31AuOLX/kk22L5CeraX7c4Ur6i7MhyQ3RK5hoRXwdLLh682R6PUGrOytsVWmeRai1ZoQFk+nU2YnPThbSW0FNXrAK3ug4rMVqVp3MpYtEXG83bYKlbydDBS0ECWTn58f7777LgEBAfj6+uLq6kq7du1MHZYwNVsnGLAMKreD9ePgwM+PvYtarcLL2RZ/dwcqeDlx5kYyY34/Ska21N0Qwqzo9bDpPTixCFp+CI1fY/WxGPzc7Akp527q6MRTkuSGyOVoq+G1VpU4cOkW+y7cMuzBn7LVmhAWKy1emZ304Gylta/D8x+By7NdEU5IyeTTsFPULuvGyKayHEWIZ5WYmEhYWBiXL1/m+vXrpKam5lu4fPr06YSEhBASEkJ8vMw8LBGs7ZXlg9W7KnWSdn2tfCh6An5u9nzXpw5nYu/y2drTRRyoEOKJ6fWw7VM4PBOajIUW47mZnMGe8/F0e66MFGe3YJLcEHkMaBhAGVc7vv7jrGFnb+TXaq3PfGW7EMVRTlb+s5W02U91OJ1OT3xyJjGJaVy8mUIlLye+6RWMxkpexoV4Vtu2baNChQp4eXlhbW1Njx492L9//0P7jR49mvDwcMLDw/HykvevEkNjAz1nQ+3+sOP/YNtnT5zgaFXVmzEtA1ly+Borj0QXbZxCiCez+xvY9z2EjIC2n4NKxboTsej0yJIUC2f2rWCFcdlqrBjXpgrjV55kS0Qc7WuUNsyBH2y1lp0BCZGw4yvo+hM4eRvmHEKYk3uzlR5McDzlbCWdTk9kXDKj5ocTnZiOv7s9P/R7jkAvWY4ihCEEBARw8OBB0tLSsLe3Z/v27YSESAtz8QArDXSdpszk2DcVstPghUnK+OYx3m5bhSNXEvnvmlPU8nelio9z0ccrhMjfgWlKkjK4H3T8Jrf22ZpjMdTyc6WSt/z/tGRGveR348YN1q5dy7p167hx44YxTy0KoUddPyp6OTJlSyRanQFnb9xrteZeDpx94fIuWDFcqVIsRHETHwldfso7W6nf4qearXQrNSs3sQEQnZjO2CXHuJUqNWtEyWXIMUXDhg3p1asXdevWpVatWuh0OkaPHm2gSEWxoVZDp2+h8evw13SlEKHu8bU0NFZqfuz/HI62Gl5deITUTBn3CGESR+bCH/+Bal2g68+5yckLN5P5O+YO3WTWhsUzWnJj5syZNGjQgFWrVrFixQoaNWrE7NmzjXV6UQgaKzXvtA3iXFwKYcdjiuYkpWtB56kQtQe2TyiacwhhKgnnYfEApX3giK0w7pQya8m7+hNd5fu3rBxtbmLjnujEdLJypECdKJmKYkwxYcIEzp49y6lTp1iwYAG2trYGilYUKyoVtPs/aPEBHF8IK0c+0XJDbxc7fuhfh8sJqXy4+m/DLv0VQjzeyeWwbhxUags9Zymzsf6x5th11Cp4sbav6eITBmG0ZSlff/01x44dw8PDA4Bbt27RpEkThg8fbqwQRCF0qFmaGmVc+G7bOToHl8FGUwR5sDr9ISYc9v8A/iFKsS4hLF1mCix9SVl+8vyH4PzsS7tsNFb4u9vnSXD4u9tjIz3YRQklYwphUioVtPoP2DjA1k8gOx16zwVru0ferUmgJ2+1qcKUredoUKEUAxuWM068QpREOp1S3D0nC7JTldlW5UKh74I8S4R1Oj1rjsfQtLIX3s6P/j8szJ/RZm54eHjg7Hx/DZOzs3PuoESYH7Vaxbvtg/B0tOXCzRRiEtOIT85EZ8hlKgDtvwL/+rBmDMSfM+yxhTA2vV7piJJwDnrNVlogG4CHow0/9n8Of3d7QElszBgcgoejdBsSJZOMKYRZCH1TWbN/bhMs7gdZqY+9y2utKtG8ihcT1kZwKuaOEYIUogTS6eBmBMxsA1Nrwu+9oc1nMGCpUjfnAUeuJhKdmE73556tk50wD0abuVGpUiUaNmxI165dUalUhIWFERwczLfffgvA22+/baxQxBNqXskTB2srRi+4X8RwxuAQgnycDdciSWMDvefBb82Vq92jtoOtFPIRFurAz3B6tfIGWrGlwQ6r0+v5ddcFJvYMpoKHAzYaKzwcbaRVmSixZEwhzEaDUWDjCGGvwcKeMGA55KQpV4s1NkqdpQeWI6rVKqb2rUOnH/Yw5vejrHujKa721iZ8AEIUQ2nxsKT//aLuSVdhzSvKEmHbvMXYVx+Lwd7ainbVDdREQZiU0WZuBAYG0q1bN1T/VKTt2rUrFSpUIDk5meTkZGOFIQrhdlo27yw/kaeI4aj54YYvYujqB73nwK3zEPb6E7dXE8KsRO1VpidX7Qyh4wx66D9Ox/HH6ZukZOTg5+6Al7OtJDZEiSZjCmFW6gxQZuvpdHDj5P2rxTPbKFePdbo8u5dytOGnAc9xPSmd8StOSP0NIQwtJytvtzpQfs7J+xkmM0fLhpOxtK/hg6OtNBEtDoz2r/jpp58a61TCQAoqYphZFEUMKzRXrnZv/US5+t3kdcOfQ4iicvc6LB8KpSpCt19y24oZgl6vZ8aeS5T3cKBtdR+DHVcISyZjCmF2anRXikb/3ivv1eIl/ZWrxU55X7/rlSvFBx2q8n8bzjBr72VGNqtogqCFKKZyMpUudQ8mONwC8tTaANgZGc+d9GzpklKMGG3mRnh4ON27d6du3boEBwfnfgnzda+I4YP83e25cDOFXefiDX/CJmOh2otKgiNqr+GPL0RRyMmCZYMhKw36LgQ7F4Me/siVRI5fS2JE0wpYyWwNIQAZUwgzZe3wRFeL7xnRtALtqvswcdNZjlxJNEKAQpQAl3bB2rHKxSa3AGWbWwD0W6wsE3vAmmMxeDrZ0LSSpwkCFUXBaDM3Bg4cyNdff02tWrVQP0UrRGF8Ho42zBgcwqj592tuTBtYl193XmTjqRt0Cvblk87V8XExUGVhlQq6ToObzytXwV/eDS5S3EeYuT8+hOjDSqV876oGP/z03Zdwc7CmV72yBj+2EJZKxhTCLGlsnuhq8T0qlYqve9em8497eH3RUTaMbUYpKRQtxNO7tBMW9QP38uBVXZk1VUD9mzvp2Ww/c5OBjQLQWMn7SHFhtOSGl5cXXbp0MdbphAGo1SqCfJxZPSaUrBxtbhHD7/rVoequS/y04wK7IuN5p10VBjcub5irynYuytXvGf8kOIasL3BQIITJnVgCh2dA49eVKckGdjkhla1n4ni9VSXsbaTtqxD3yJhCmCUHL+Xq8L1Chm4B0OUniPwD6g7Kd8miq7010wbUo+cv+3lr6XHmDK0vNZWEeBoXdyhdi0oFwpC14Fjqkbtv+juWLK2O7rIkpVgxWnJjwoQJjBw5ktatW2Nra5u7vUePHsYKQTwFtVqFl7Ntnm22aivGtq5Ml9pl+DjsFBPWRbDyaDRfdKtF7bJuz35S76rQ9SdYMQy2/Bc6Tn72YwphaLEnYd2bUL4ZtJlQJKeYvfcy1mo1gxqXK5LjC2GpZEwhzJJardTduHe12MoawufCrq/g0g7oNu2hNpQAtfxd+eTF6vx3zSl+2XWR11pVMn7sQliyC9thyQDwqASDw8Dx8ctMVh+LoaKXI7X8XI0QoDAWoyU35syZw9mzZ8nOzs6dQqpSqWQgYsHKezoyf3gDNvwdy+frIug2bR8DGwbwXvuqz97WrGYPiDkCB34Cv3pQu69hghbCENITYdkgsC+lVMi3MvxLaWJqFsuPXKPbc2XwdjbQ0i8higkZUwizpVbnLR7a8n2wtoNtn0HiZWVmh4vvQ3cb2DCAvy7fZsqWSJ4LcKNJoNQAEOKJnN+mJDY8q/yT2PB47F1iktI5dPk277Stktt1SxQPRktuHD58mMjISGOdThiJSqWic3AZWlTx4tut55i3P4rNp+L4b6dqdK1T5tleMNp8BtePKVfHfWpA6ZoGi1uIp6bTwarRcCcGhm0CJ+8iOc3Cg1fIyNZJBX0h8iFjCmExVCpoOk754LVyJMxoBf0WgV/df+2m4qsetTh9/Q5jFx9n45tNJbEtxOOc2wJLB4JXEAxeCw6PXopyT9jxGAC61pElKcWN0aqnNGnShIiICGOdThiZs501n75Yg7WvN8XPzY5xS48zcOYhLsanPP1Brayh1xywc4WlL0F6ksHiFeKp7Z4M57dAh4lQtn6RnCIjW8u8A1doGeRFFR/nIjmHEJZMxhTC4lTtCCO2gFoDczrCqVUP7eJoq2HawHqkZGYzdvExcrQ6EwQqhIU498c/iY2qhUps6PV6Vh+NIaScOwEeDkUcpDA2oyU3Dh48SJ06dQgKCiI4OJhatWpJ27ZiqKafK6vGhPK/bjX5O+YOHabu4dstkWRka9Hp9MQnZxKTmEZ8ciY6nf7xB3T2gT7z4M41WP2KctVcCFM5twV2ToTa/SFkRJGdZu3x6ySkZDJKZm0IkS8ZUwiLVLomjNoBvrWVumI7vgJ93rFQUGln/q9bLQ5eus2Sv64WftwkREkQuQmWDFRq3AwOe+LEBkBE7F3O30yhmxQSLZaMtixl8+bNxjqVMDErtYpBjcrxQo3SfLnxDD/8eYHIuGRea1WJMb8fzW0rO2NwCEE+zo+vCh7QCNp/CZvGw94p0Pw94zwQIR50+zKsGqkMTjt/l2/Ve0PQ6/XM2HOJar4uNAl8/LpRIUoiGVMIi+XkpXRyWDcOdk2EhEjoOg1s7l9B7lXPnxtJ6VTwcqL7tH2FHzcJUZyd3QjLBkPpWjBoFdi7F+rua47FYG2lonPww7VvhOUz2syNcuXKce3aNf7880/KlSuHg4MDOrkKX6x5OdvyXd86LBrZkP4NAnITGwDRiemMmh/OrdSsJztYg9FQqzf8+YVSEVkIY8pKg6WDABX0WZBvtXtD2XkunvM3UxjdvIIUuRKiADKmEBZNY6t0Tmn7OZxeA3M6wN3reXbpXb8s7688+fTjJiGKozPrlcSGbzAMWl3oxIZWpyfs+HVaBXnj5mBTREEKUzJacmPChAlMmjSJr776CoDs7GxeeuklY51emFCTSp5U8nbKfYO+Jzoxnawc7ZMdRKWCF78H72qwcgQkXimCSIXIh14P69+CuFPQcyaUqlCkp5u55xKlXezoHFymSM8jhCWTMYWweCoVhL4J/RfDrQswvZXSJe4fOVrds42bhChuzqyD5UOUZV2DVoO9W6EPceDiLW4mZ9JdlqQUW0ZLbqxevZq1a9fi6OgIQJkyZUhOTjbW6YWJ2Wqs8HfPe7Xb390eG43Vkx/ExhH6LgSdVlmnmnwDkq5BSpzU4hBF5/BMOLkEWn4AldsW6alOX7/Dvgu3GBpaHmsro708C2FxZEwhio2gDkqhUY3NP4VGVwJgY4hxkxDFRUQYLB8KZeoqiQ0716c6zOpjMTjbaWhVtWg63QnTM9ro2cbGBpVKlTvNOjU11VinFmbAw9GGGYNDct+o/d3t+W1QPTwcCzklzCNQaaFWpz/MagtTa8LMNnAzQhIcwjB0OiVhlnQNbl2EkyugcntoPr7ITz1zz2Ucbazo3yCgyM8lhCWTMYUoVnxqKIVGyzwHK4bDji/xcNA8NG6a0rs2DtaS3BAlzOnVsHwY+NWDl1aCnctTHSY9S8vmU7F0quWLnfw/KraMVlC0T58+vPzyyyQlJTFjxgxmz57NqFGjjHV6YWJqtYogH2dWjwklLSuHyLhkVh+Npnqn6oU/mFcVJaGRdFX5OekqLOkPI7eBk49hAxcli06nJMqW9Ff+rtwClEJvvsGgLtpccOyddNaduM7gxuVxtbcu0nMJYelkTCGKHUdPpevD+rdh1yTU8WcJ6voLO16pjkqbSTbWTPjzGlO3nWfOsPry4UyUDKdWwcqR4F8fXloBts5PfagtETdIzdJKl5RizmgzN+Lj4+nVqxc9e/YkMjKSzz//nOjoaGOdXpgBtVqFl7Mt5Twcib6dzsy9Uaw8GlP4A+Vk3U9s3JN0FXIyDROoKLnS4u8nNkC5DRsDORlFfuq5+6LQ6fUMCy1f5OcSwtLJmEIUSxpb6PoTtPs/uBuDOvYY1nPaovkhGPv57ZnQSE1mTjavLzpKtlZmq4pi6MHZs3ERcPAXKNvwmRMboHRJKeNqR4PyT942VlgelV6vN0rT7Lp163L06NE824KDgzl58qQxTg9ASEgI4eHhRjufKJhOp6ff9IOcuXGXrW+1oLSr3ZPfOSUu78wNUK6wd/4O1Bqo2NLg8YoSIumastTp38adAreyRXbalMwcGn+1neZVvPh5QN0iO48QpmLo918ZU4hiLz4Sfu/10FjnZt8NNPj+b7rWKcN3fepIW1hRfOQ3e7bbr+BbB2wdn+nQCSmZNPxyO6ObV+T9F6oaJl5hMo96/y3ymRu//PILtWrVIjIykuDg4NyvChUqEBwcXNSnF2ZKrVbxde9gcrR6Plh1kkLl2By8oN9i5UUPlNve8+DwHJjfFZa+JN1UxNPR6+7/Xd3jFqAUeitCSw9fIzkjh9HNKhbpeYSwdDKmECWGtUO+s1S97WH8C0GEHb/Ox2GnCjd+EsKc5Td7ds0rkJ3yzIdef+I6Wp1euqSUAEVec2PAgAF06NCB//znP0ycODF3u7OzM6VKPX5a0PDhw1m/fj3e3t6cOnUqz++mTJnCu+++S3x8PJ6engaPXRStch6OfNChKp+uPc3y8Gj61H/CK+NqNXhXV2ps5GQpHzwdvKDXLDjwI+z5Fs5vVVqshY4DG4cifRyimLiwHfZ9D11/hrDX7l816LdY+fsqIjlaHbP3XqZB+VLULutWZOcRojh41jGFEBZDY6O8B/17lmrcacZwkqzQlkzddxVnO2s+6CBXokUxUOCy86xnPvTq49ep7utCFZ9nW9oizF+Rz9xwdXWlfPnyLF68mHLlyuV+PekgZOjQoWzevPmh7deuXWPLli0EBEhXAUs2qFE5GlUsxf/WR3A9Kf3xd7hHrVaKh7qVVW7VarC2g+bvwevhULUz7JoEP9VXqizLlQ1REL0eDv6qTP9NTYBSlZTE2bhTyq139SItJrrp1A1iktIZ2axCkZ1DiOLiWccUQliM/Gap9pkPl/fCzi9582R3fi8bxppdfzFt5wXTxirEs9LmwN3rRTJ79lJ8CieuJcmsjRLCaAVFn1bz5s3zHbS89dZbTJ48ObcNnLBMarWKr3vVRqvX8/7KQi5PKYirnzKLY+hGsHdX+mLPexHiTj/7sUXxkpMF696Eze9DlQ4wYgu4lnk4cVZE9Ho9M/dcooKnI22qSacfIYQQ/3hwluq9ZHvp2vDCF/DqflTVOtMkYQV77d7Cc9vbhG3dYeqIhXg6WanKkvItH0LPWXkTes8we1an0xOfnElGto7fBtWje90yBgxamCuzT27kJywsDD8/P2rXrv3YfadPn05ISAghISHEx8cbITpRWGVLOfCfjtXYcz6BJYevGe7A5UPh5V3Q6VuIOwW/NoWN70HabcOdQ1iu1FuwoBscnQfN3oG+C8HWyaghHI5K5ET0HUY0rSBF4YQQQuSV3yxVAJ8a0GM6qrHHUNUfRjfrA7y4tzvXf+sJ0UdMG7MQhZGaAPO6wPk/oHZ/8AsxyOxZnU5PZFwy3afto+MPe/jf+gjik7PQ6WQmd3FnccmNtLQ0vvzySz7//PMn2n/06NGEh4cTHh6Ol1fRrZsXz2ZggwBCK3nwf+sjiE5MM9yB1VZQfwS8cRRCRsDhmfBjPQifDTqt4c4jLEtcBMxoBdHh0GMmtP6kSGdoFGT67ku4O1jTs66/0c8thBDCwrmXw6rTN+je/Js1zv1xvH4AZj6vzFa9+KcsyRXm7fYlmNVWuQDZdyHUH1lwQq+QbqVmMWp+ONGJypL36MR0Rs0P51bqs9fvEObN4pIbFy9e5PLly9SuXZvy5csTHR1N3bp1uXHjhqlDE89ArVYxqadS6X78ipOGz6w6lIJO38DLe5Qs8Pq3YHoLuHIgb0/tlDjlZ1F8RW5S3kxzMmHYJgjubZIwLsWnsP1sHIMalcPexsokMQghhLB8dm6laffGj7zsOY+J2pfIvBEJC7or45zTq5WLOTLWEeYk5ijMagfpSTBkHVTtZNDDZ+VocxMb90QnppOVIxc2izuLS27UqlWLmzdvEhUVRVRUFP7+/hw9epTSpUubOjTxjPzdHfioU3X2X7zF739dffwdnkbpmjB0PfSaoyxP2fpfuHYIZraBqTWV25sR8qZfHOn1sHcqLO4PHpVg9A7wr2eycGbtvYy1lZpBjcubLAYhhBDFg5Othl9HtGCnR18apE7hStNJSi2D5UOVr+tHZawjzMP5rTC3M1jbK7XOyjYw+ClsNFb4u9vn2ebvbo+NRi4mFXdmn9zo378/jRs3JjIyEn9/f2bNmmXqkEQR6t+gLM0qe/LVxjNcu23A5SkPUqmgZg94/TB0+BpWj87bU3tJf6XXtig+sjNg9Suw7VOo0V2ZseFiusJSt1IyWXEkmh7P+eHlbGuyOIQQQhQfbg42zB/RADdnJ17cW4EzPbYpHVbqDYMVw2SsI0zv6AJY1Bc8AmHENvCsXCSnsdGomNwrODfB4e9uz4zBIXg4PlvnFWH+NKYO4HEWL178yN9HRUUZJxBhFCqVsjyl/Xe7eW/FCRaNbFR0hRZtHMHRq4Ce2plFc05hfMlxsHQgRB+GVh8p7YJN3GVp4cGrZObopP2rEEIIg/J2tmPhiIb0+e0Ag+YcYfkrbaig+X/27jssiutr4Ph3l6WLgHRFxS6IiIgVa+w9itGoib3FmPqLxrQ3MU2TmMSYWIIaa9QYa+yJNYoxVkTFrqgoIlKU3nbfPyaiKHZgduF8nodnYdjdOTviztkz954b/4BcR/oPiCJiMMDOr2HHl1DlOaXoZmlXaLv7cv1JzlxPYvGwhphpNVjozHCytZDm7SWA0Y/cECVPWQdrPuzizd7z8Szce7Fwd6azyH9N7diTcOQ3GbJp6q6GKY1DY44rJ9IW41QvbKRn5bBwbyStarhQ1bXwTuxCiCeTmJhIr169qFmzJt7e3vzzzz9qhyTEUylfxoaFQxuiNxh4afa/ZKLLP9fJTlcnQFGy5GTD2jeUwkadftBvWaEWNv49H8dvBy5Tv1IZKjjZUs7RBhc7SylslBBS3BBGqXdgeVpUd2HSxpNcjEspvB3ZuChraN+9pvYL8+HoCmW6ys/N4PRm6Thuio6vhl86ABoYsgl8uqsdEQCrD1/hRnImw5tXVjsUIcRd3njjDTp06MDJkyc5cuQI3t7eaockxFOr6lqKBUMacCsti7fXX0HfZ3GeXMfQfTqsHgWb3oOstIc/mRBPKzNFGT17aL4ycvb56WBmXmi7y8jO4b1VRylfxpo3W1cvtP0I4yXFDWGUNBoNk4JrozPTMPb3Qlg95TatVlk95e41tT384fkZEDxHeVNe3BvmdoLL+wonBvHs7u0Cf3AB/D4Q3GvD8G3gUUftCAFl3fVZu85Tq2xpGld2UjscIcR/bt68yd9//83QoUMBsLCwwMHBQd2ghHhGvuXs+WVwfa4nZRKR48nRjiu5PHAfRzuu5KKVNwaPurB3OvzcQhnpKERBSo5VliU+8yd0+R6e+7DQR8/O2HGO87EpfP58bVmJroSS4oYwWh721vxfFx/2RcYzb09k4e0ovzW1tVqo3Qte3QedJkPcWWX50CX94PrJwotFPDm9Xun6fncXeMeK0OI9ZWUcOze1I8y14/R1zsWmMLxZZTQqT48RQtxx4cIFXFxcGDx4MHXr1mXYsGGkpBTiqEEhikh9rzJM7OnHqF8P03XuaZr9fJauc0/z0oJwbjT/Al5aCRm3YHZr2PmNMoVAiGcVd07Jm2MioM+vEDik0Hd59noy07efo1udsrSo7lLo+xPGSYobwqj1qufJczVd+XrzSc7HJhd9ADoLaDAcXj8MrT6EC3/DjMaw+lW4GVX08Yj7pcYqXd/v7gL/xxioPxh0xrUSyay/L+Bhb0VnPw+1QxFC3CU7O5tDhw7xyiuvcPjwYWxtbZk0adJ99wsJCSEwMJDAwEBiY2WlCWEarMy1RCXknXoSlZDGxbgUBvxtxySvXzjv0ga2f07GrHbkxJ596PPp9QZikzK4kpBKbFJG4Y2uFabpykGY0w7Sb8LAP6Bmp0LfpcFg4INVR7Ey1/JRF59C358wXlLcEEZNo9EwsWdtLMy0jF0eTo5aJ1DLUtBiLLxxBBq+AkeXwdQA2PwBpMarE5NQZGeaRBf4Y1du8s/5OAYHeWFuJm+9QhgTT09PPD09adiwIQC9evXi0KFD991vxIgRHDhwgAMHDuDiIlcGhWmw0JnlLol5m6ejNXoDJKRksig8iecuDuC1zDGkR58g46cm/DDpXYbP38+XG06wZN8l9p6P4/qtdHJy9JyKSaLH9FCCvtpOj+mhnIpJkgJHSXb31ODYU/DnR8qKhEP/gvINiiSE3w9E8e+FeN7r5I2LnXFd2BJFy+iXghXCrbQVE7rX4q3fjjA39ALDmqnYiNHWCTp8CY1GwfaJ8M80OLQAgt6ARq+AzloZSZCdqYz6sHFRpriIwpGVDreilSZpdxc4HCoox9+IzNp1nlKWOl5sUOHRdxZCFCl3d3fKly/PqVOnqFGjBlu3bsXHR67+ieLBydaCWQMCGb7gAFEJaXg6WjNrQCA13OxY+1pTDAYDsckZRN5ozM6o5/E98AFv3JzJvkv7ePvMMKKyHXKfa9aAekxYG5E7EiQqIY3hCw6wanSQfKgsiW5PDb49gtahgtK3zsVbyZmLwI3kDL7YcIL6Xo70CSxfJPsUxkuKG8IkPO9fjvXh1/hm8yla1nClqmspdQNyqAA9ZkCT12Drp7DtM7j0L7R8F5YPvvMG/+ISpWGpFDgKXuxp5VibW0HwbFgxLO9xt1H/qqpebyAuJZPUzGw61fbAr5w9pa0Kr0u4EOLp/fjjj/Tv35/MzEwqV67M3Llz1Q5JiAKh1Wqo4WbHqtFBZGbnYKEzw8nWIndpTI1Gg6udFa52VlCpDDTdDPtn0+DPj9hl9wFxLb8iwvE5LtxIoay9db5TXDKzc9R4aUJt+U0NXv2K0qC/iHyx/gSpmdlM7FlblnsVUtwQpkGj0fBlT1/aff837/x+hBWvNMHMGN7A3Hyg31K4+A9kZ9wpbIByu7Sv8gZfyniaWpo8gwHCFsOGd8DcGp6fCeXqK8fZiEbM6PUGTsUk5blS9vNL9dDrDXLyFcII+fv7c+DAAbXDEKJQaLWaxx9ZodEo/cYqt0SzcgTOG0fQvHZvmnf6hthsKzwd8xY4PB2tSUrPlvNbSZOdAck3VJ0avOtMLKsOX+H156pS1dWuSPYpjJtcThYmw9XOigndahF2OZFZu86rHU5eFRuDUxWT6P1g0jKSYNVIWDMaytWDUbuherv8V7xRWVxKZm5hA5QrWyMXHSQuRf4ehBBCmADnajD0T2j5HhxbATOa4BTzDwuH1Gft4OrsGlmVtYOr83P/ury38igv/PwPx6/eVDtqUdgMBji5HqY1hITzyojZuxXR1OD0rBw+XH2Mys62jG5VtdD3J0yD+p8AhHgC3eqUpX0tN7aeiOFSfKpxderWWaj2Bl8iXA2Dn5vD0d+h1QcwYA2ULqt2VPm6djOd+JQMGborhBDCtJmZQ8vxMOwvMLdBu+MzvNIiqL2xJ+XnN6D2xp746K4wplVlIm+k0PXH3Xy85hg307LUjlwUhpgIWPg8LO0HZhbKBaUXl9zJf4twavDUrWe4GJfK5z18sTI3K/T9CdMg01KESbm9esrJa0n0m7X3vsZYqg6HtHFR3tDvbqrUfRqkJsi0lGdhMMC/P8NfH4GNMwxcB15Bakd1n8vxqWw6do2Nx6I5dCmRn1+ul+/QXQudnICFEEKYmHL1YOTfEHMMzYqheabgapb2pfWwLWz7X0u+++sUC/deZF14NOM71iQ4wFOmqhQHqfGwYyLsn6OsINjxawgcohS/9Poinxp88totQv4+T696njSp4lyo+xKmRYobwuTk6GHc8nDj69St1SrNQ2+/wWOAjePhYqgyyqCsv3qxmarUeFjzKpzaANU7QPfpRdZ9+3GcvZ7MpmPRbDx2jeNXbwFQq2xp3mlXHW8Pu3y70zvZykgeIYQQJsjCBuw8HjgF197BnAndfeldvzwfrT7G2OXhLN1/mU+716JWWXt1YhbPJicbDs6F7V9A+k2loNHy/by52O2pwUVErzfw/sqjlLY254NO3kW2X2EapLghTE5mdo7xDve/9w2+w0SY1wUWdJcCx5O6+A+sGArJ16HDJGg4SmlypiKDwUBE9C02H7vGxmPXOHM9GYCACg6836kmHWp5UMHJJvf+er3hgd3phRBCCJNzewruvcuv33V+rlXWnuWjmrDiUBSTNp6k64+7eblRRd5uVwN7a1kxzGSc2w6b3oPYE+DVDDp+BW611I6KX/dd4tClRL7rXQdHuWAk7iHFDWFyLHRmpjPc37EiDFonBY4noc+BXd/Bji/BoaIyz7ds3aLb/X/Lt94uSDham3P06s3/ppxc41J8KloNNKhUhpca1aJ9LXfc7a3yfa4n6k4vhBBCGLv8puB2+wn+eA0ajIQaHQDl/PdCYHna+bjnTlVZfzSa8R296Vm3nBT6jVn8edj8IZxar+RhfRZBzS6qX2ACiLmVztcbTxJU1YkedcupHY4wQlLcECbHydbivuH+3/TyQ6sxgqai+ZECx+NLugYrh8OFv8G3F3T5HqxKF9nu81u+9Ztefny96RTHrt6kSRVnRresQlsfN5xKSdFCCCFECXPvFFydBWSmQnIsLOkD9YdDu8+UpdoBextlqsoLgeX5vzXHeOf3IyzZd4lPu9fC2710nosJMrpRZRlJ8Pdk2DsdtObQ+v+g0atgnv8FHDVMWHucjBw9nz9fG40RFFuE8dEYDAYj/URY8AIDA2UN+2Li7qvrOXoDY38PJ1OvZ+mIRlga4wgOgISLSoEj4+Z/BY6iG41glPR6SI29kxzFRyrdtzNToNM3UPelIr9KEJuUQY/pofeNCpozMBB3e2sZTivEUyqO59/i+JqEeGrZGbBlAuydBi7e0GvOfVMY9HoDyw9F8dXGk1QoY8OHnb1547cw42oOX1LcnYOZWcCVQ7DuDUiOgTp9ofXHUNpD7Sjz2HoihqHzD/BOu+qMea6a2uEIFT3s/CtLwQqTdHu4fzlHGyo42TIoyIvDlxL5YNUxjLZed3sEh5W9MoLj6mG1I1KPXg/XI2B2G5jiq9xmp0PlljByJwS8rMrwxwf1cyllqZPChhBCCPEgOkvo8CW8tAJS4yCkFfwboqx49h+tVkPvwPJs+19LPurik1vYgDvN4eNSMtV6BSXHvTnYnDZKs9iqbWHYNugx0+gKGykZ2fzfmuNUdyvFiOZV1A5HGDEpbohioWNtD95sU43lB6OYs/uC2uE8mGNFZSnTklzg0OfArag783VBuf1jDLT/HFxqqBaawaCM1Lib0fZzEUIIIYxN1Tbwyh6o3AI2joXFfZQpK3extzHHrbSl8TaHL+5SY/PPwVr/H3jWUze2B/jur9NcSUzjyx61sdDJx1fxYPLXIYqN15+rRkdfd77ccIKdp2Mf/QC13FvguHJI7YiejF6vDFtMvKzc6vX53y87A2KOw7GVsGMS/D4YZgTBF/8tI5ffUnI52YUf/wOkZGTz9eaTfN3LL7fAIcu3CiGEEE+olAv0WwYdv4bzO2BGEzi7Jc9dbjeHv5unozVZOUY6+rY4yUh+QA5mnKNmjkbdZG7oBfo1rECgVxm1wxFGThqKimJDq9Uw+YU6XLiRwpjFh1jzahCVXUqpHVb+HCvCoPUwrzMsfB5eXg3lAtSO6tFuD2W8u0t6n8WgNYPoMIg9BTdOK7cJF8Bwu/ChUV6zcw2o0gqsHPNfSk6nThHBYDAwdvkRNh27xuCgSrJ8qxBCCPEsNBpoOBK8msLyobAoGBr/NzpAZ/nA5vDv/B5Gx9plGRLkJQ0jC5rBAAfmgJ1HgeZg964yV5B5U3aOnvdWheNUypJ3O9QskOcUxZsUN0SxYmupY9aAQLpPC2XYggOsGh1kvL0SHCqYXoEjv6GMv/WD9l/C6leU7tpOVcHdF3yDlSkmztXBuVpu53RAKZLcu5Tci0uUJeZUMH3HOTYcvcYHnbypW8FRlRiEEEKIYsetFozYDn9+BP/8BBd2QvActC41qOFml+digqVOi6OtJZ+ti2Dv+Tgm96qDvY2R5nCmJjVeWa735DpoMAr6/Aq/9X/mHCy/VeYKsjHsvD2RHLtyi5/61TXefF4YFVktRRRL/56Po//sfwmq6swvg+pjZsxX3hMvKQWO9JvGW+BIjoUjS6BCQ5jT7v7fv7oPNFpwrARmj1kzvXe1FBsXZYm5Irbj1HUGz9tPV7+y/PCiv1wpEqIQFMfzb3F8TUIUqlMbYfVoyEpTmo/WG3xf83CDwcDc0EgmbjyBq50VP/WrKxcdntWFv2HlSEiJhTafQKPRyvYCyMEetMrcqtFBuNhZPlPYVxLTaPvdThpWKsMvg+pLfiZyyWoposRpWNmJT7v7svN0LF9vOql2OA93ewSHlb0ygsNYenDoc+D0n/DbS/BdTfjrI2Ute4cKee/nUAGsHZTRGY9b2ADlJFrKDRzKK7cqFDYib6Tw+pLD1HQvzVfBfnLiFEIIIQpLjY5Ks9EKDWHdW/DXx3DzSp4eXhqNhiFNK7F8VBM0Gnhh5j/M3nXeeFfCM2Y5WbD1U5jfTVkNZdgWaDJGybcKKAd70CpzUQmpvLs8nFl/n2fbyRguxqWQo3/0v6FebyA2KYMrCalcjkuldll7Pu3uK/mZeGwyLUUUW/0aVuDktVv8/Pd5arjb0TPAU+2QHix3ikoXWPA8DFit3giO+AtweBGELYakq2DjBA1HQd2XlSkmRjSd5FmkZGQzYuEBtFoNIS/Xw9pCVkQRQgghClVpD3hpFRz9HezcYW6HvPmEqw9otdQp78D615sxbvkRPl9/Qpmm8kIdHGykwfdjib8AK4bBlQNK/tZhElgWfB+6241h7x25kZqZw5YTMfx24PJd99VS2dmWKq6lqOJSiqqupajiYksVl1JYmZvlO8Xlx751Kedgnd+uhciXTEsRxVpWjp4Bc/Zx8FICv41oZPxDGxMvKQWOtEQYuhlsyhTNtI2sNDixFg4tgMhdyhSTqm2g7ktQvWPeJlNGMp3kWRgMBl5dfIhNx66xYEhDmlZzVjskIYq14nj+LY6vSYgikxwDs9vc39TypZX/NbdUpjQYDAbm74nkiw3KNJWpfetSr6KR53JqC/9dGRmj0ULXKeDbs9B2pdcbiIi+xahFB/PtuZGQksm52OT/vlI4e135/nJ8KrcHcmg0UM5BaSg7dnl4oUxxEcXLw86/MnJDFGvmZlqm9w+g27TdjFx4kD/GNMXd3krtsB7MoQIMWgcb31PmRi7une8VjQJzNQwOL1ROhBk3wdELnvsQ6vQD+3L5P+b2UEYTNmOn0kD0/U41pbAhhBBCFLXszPyXI02OgZ+bQ6XmULUNmqqtGRRUmYCKjry6+BB9fv6Hse1rMLxZZVnJ7F4ZSbBhrNIjrXwjCJ51/1TiAqbVajh57RYfdfGhprsdNha6PKulONpaEGhb5r4lXNOzcoiM+6/YcT2Fc7HJWOrM8p3ikpmdU6ivQRQvUtwQxZ6jrQWzB9Sn5/RQRi48wG8jG2NlbsRTEBwqQMeJSpPRu1clWdoXei+C68fBxhlsnf67dQYL24c/592jLbRmcGkv7P4Orh0FnRV4d4OAl6FiU5MbhfGkdpy6zjebT9G1TlmGN6usdjhCCCFEyaOzyH85UlsX8O8HZ/6C05uU7WUq41e1LZs6teS9Q/ZM3HiSfy/E8+0LdXC0lWkqAFw5qCy5m3gRWr4Hzd55sj5oz2BuaCQWOi2rRgc99mOszM2o6V6amu6lc7fFJmXkO8XFQmfEObswOlLcECVCDXc7vu/jz4iFBxm/Ipzv+xj7qhia/K9oZCYpS67eS2et9Ma4u+BxuwDiXANKl4XfB94ZBdLtJ3CtBQEDoXYvsC4ZQzwvxikNRGu42fFVcG0j/xsQQgghiikbl/x7eDlVg87fgsEA8efh7Bbl69ACbPf9zA9mlowvV5f556rxypT6jO3fhXpeTsViyuxT0ethzw+w7XOw84BBG6Bi4yLb/YUbKRy/eosPO3s/83M52Vowa0DgfcvKOkkBSzwBKW6IEqNdLXfeaVedyX+epqZHaUa1qKJ2SA/2oCsaZSrD64chJQ5Sb0DKjbtu4+98H3dGuU9WCvRZdKewAcrtH2OUrtkmPr3kSaRkZDNiwUG0Wg2zBgRiYyFvf0IIIYQqtFplqu2wLfkXJDQacKqifDUcCVnpcGkPmrNbKXvmL94zWwhZC7ky91PO1xlEpYad0dx9EacwpvKq7d4CDhqlaeiFneDzvNJfo4gvVq0PvwpAp9oez/xcWq2GGm52rBodRGZ2DhY6szxTXIR4HEaf3Q8ZMoR169bh6urKsWPHABg7dixr167FwsKCKlWqMHfuXBwcHNQNVJiEV1tV5eS1JL7adJLqbqV4rqaRfrh/0BWNUu7KibrMY06nyEqDpGv5jwLJziz4uI2UwWBg7PIjnLmexPwhDShfxkbtkIQQQoiS7Ul6eJlbQZXnlK/2X0DiJdJO/knsrtX4egfcKWzAnam8gzc9uH+YqdHr4XpE3ryw+zTQZ0O3H5UVUVQYjbouPJrAio6ULaAVTbRajTQPFc/E6MuZgwYNYtOmTXm2tW3blmPHjhEeHk716tWZOHGiStEJU6PRaPimVx18PErzxpIwzl5PUjuk/N19RePNY8rt01yBMLdW1ja/t6GUQ4W8K6AUczN3nmfD0Wu826EmzaqZ3rK1QgghhLiLQwWsGw2jzjtryXTyyf8iTsIFmFoXVo6EfbMg+gjkZBdtnHq90iQ18bJyq9c/2eMNBshIhltX7hQ2QLld8yo8PwMCBqhS2Dh7PZmT15Lo7PfsozaEKChGP3KjefPmREZG5tnWrl273O8bNWrE8uXLizgqYcqsLcyYNSCQbj/tZtj8A6x5tSn2NuZqh3W/glqV5EGjQGxKxof8nadj+XrzSbrWKcuI5tJAVAghhCguNBoN5pbW+U7lzTSzJb10NezObUMTvlTZbm4L5QLAsz6UbwCeDZT+ZHcrqP4d+Y226LMItDq4FQ1pCXm/0hPv35aWCPosGLQ+/wKORr3r1BuORqPRQEdfKW4I42H0xY1H+eWXX+jTp4/aYQgTU9bBmp9frseLIXv57q9TvNqqKlk5+uI5v+9R81qLsYtxKby2+JA0EBVCCCGKqQRKY9Z1Pk5r7/TciOs6n2saLzqfHIiNxWBau6fTrvQl/DmNR9JRdHumKlM6QJnq69kAytcHr+aQkwFL+z24f4derxQiUuMhNS7vV9rtbfHQYCSsfS3vaIvfXoL2Xyq3d7MsDVYOYO2g9M1w9VFub/9s5ZB/LzYVR+GuD4+mfsUyuNtbqRaDEPcy6eLGF198gU6no3///g+8T0hICCEhIQDExsYWVWjCBNSrWIbp/QKwsdTRc8aePJ2Za7jZFb8CRwlqHgp3GohqNBpCXpYGokIIIURxpNGa8X5oNiPa/o6rjYbrqQZCQm/xUVdLfnjRn8OXEjl0KYG3IizJ1lcFOlG9jBldXWJoYnGOapkn74zu6LMINr9/f/+Obj/ChnF3ChiGB0wvMbNUVq+zcQLLUvmPtnCuAUP/+q944QhW9mD2iBHEer1RjcI9E5PEqZgkJnSrpcr+hXgQk832582bx7p169i6detDr8aOGDGCESNGABAYGFhU4QkT4V/BkR7TQ3PX1I5KSGP4ggOsGh0kDY1MmMFgYNyK8NwGohWcpIGoEEIIURw52VrwZtua9y0hWtbeGk9/G7r7K01F0zJzOHb1JocuJnD4UiILL+n4NskZaIi1+WCec0/nW/vKWOVTkDBYlELjWhOsy9wpXuR+3bXNwvZO/4vkmPxHW1jbg0v1J3uRRjYKd134f1NSarursn8hHsQkixubNm3i66+/ZufOndjYyIcW8fQys3NyCxu3RSWkkZmdo1JEoiDM3Hme9eHRvNdRGogKIYQQxdnjLiFqbWFGfa8y1PcqAygXQq4kpuWO7Dh0KZF0nT1W+RQksu08Me+94MkCK+ieZ0YyCtdgMLD+aDQNK5XB1U6mpAjjYvTFjb59+7Jjxw5u3LiBp6cnEyZMYOLEiWRkZNC2bVtAaSo6c+bMp3r+rKwsoqKiSE9PL8iwiyUrKys8PT0xNzfC5ptPyUJnhqejdZ4Ch6ejNRY6MxWjEk9KrzcQl5JJZnYO6Vl6/jx+jS5+HtJAVAhRpCSneHzFMacQ6nmaJUQ1Gg2ejjZ4OtrQtU5ZAK7fTCUun/4dOZTG9cmDMqrRFgXldEwyZ68nM7CJr9qhCHEfoy9uLFmy5L5tQ4cOLbDnj4qKws7ODi8vL2k2+BAGg4G4uDiioqKoVKmS2uEUGCdbC2YNCMwzlPGbXn5oNAa1QxOPSa83cComKc+/4eQX6uBXzl7+TwshipTkFI+nuOYUwvQ9qH9H34bJRN3MIKCC45M9oZGMtihI68OvotVAh1oyJUUYH6MvbhS29PR0SUIeg0ajwcnJqdg1Zb13KGO23sC7y8NJyshm2cjG2FqW+P8iRi8uJTO3sAHKtKJ3fj/CqtFB2Mi/nxCiCElO8XiKa04hTF9+/Tum9w/gx61n2HryOq+2qsrrrathbmbaoy+elsFgYF14NI0qO0lvOmGUSub/zHtIEvJ4iutxuj2UsZyjDRWdbBnZogonom/x+pLD5OhlBIexk74pQoiCkpOTQ926denSpctTP0dxPVcWNDlOwhjdfdEr9N1WrBodhG9Ze77t40+Pup78uO0sPafv4ez1ZLVDVcWJ6CTO30ihi19ZtUMRIl9S3ChCiYmJTJ8+Xe0wxCO0qunKhO6+bD15nQlrj2MwSIHDmN3um3I36ZsihHgaP/zwA97e3mqH8VgkpxCicNx90cvFzhKtVkNpK3O+7V2HGf0DiEpIpfPUXczfE4m+hF0EW3/0KmZaDe1rFa+pNqL4kOJGEZJExHS83Kgiw5tVYsE/F5mz+4La4YiHcLQ259sX6uQWOG4vAedka6FyZEIIUxIVFcX69esZNmyY2qE8FskphCh6HWt7sPnN5jSu4sTHfxxn4Nx9XLtZMhoIGwwG1odH06SKE06lZEqKME5S3ChC48eP59y5c/j7+/PCCy+wevXq3N/179+fNWvWMG/ePLp3707Lli2pVq0aEyZMyL3PokWLaNCgAf7+/owcOZKcHBl2X5je6+hNR193vthwgk3HrqkdjniAhf9eZNLGk/wysH7uENIabnb3LQEnhBAP8+abb/L111+jNZGVDCSnEEIdrqWtmDuoPp8/78uByATaT/mbdeFX1Q6r0B2/eovIuFQ61/ZQOxQhHsg0zuDFxKRJk6hSpQphYWGMGTOGefPmAXDz5k327NlD586dAdi3bx8rVqwgPDyc33//nQMHDnDixAl+++03QkNDCQsLw8zMjF9//VXFV1P8abUavu/jTx1PB9787TBhlxPVDknc42piGpM3n8LexpxqbqXyDCEVQojHtW7dOlxdXalXr95D7xcSEkJgYCCBgYGqN8OUnEII9Wg0Gl5qVJH1rzfFy9mWMYsP8+bSw9xMy1I7tEKzLjz6vykpskqKMF6ylIBKWrRowejRo4mNjWXFihUEBwej0yn/HG3btsXJyQmAnj17snv3bnQ6HQcPHqR+/foApKWl4er6xCtuiydkZW7G7IGB9JgeyrD5+1k1OojyZWzUDkv855M/jpNjMPBZd19pTieEeGqhoaH88ccfbNiwgfT0dG7dusVLL73EokWL8txvxIgRjBgxAoDAwEA1Qs2X5BRCqKOySylWjGrM9B3n+GHrGf69EM+3L9ShSVVntUMrUAaDgfVHrxJU1RlHmfYrjJiM3FDRgAEDWLRoEXPnzmXIkCG52+/9kKbRaDAYDAwcOJCwsDDCwsI4deoUn3zySRFHXDI5l7Jk7qD6ZGbrGTxvf7GuypuSzcev8WdEDG+1qS4FJyHEM5k4cSJRUVFERkaydOlSnnvuufsKG8ZOcgoh1KEz0/J662qsfKUJ1uZm9Jv9L5+tiyA9q/hM9Tp65SaX49Po4idTUoRxk+JGEbKzsyMpKSn350GDBjFlyhQAfHx8crf/9ddfxMfHk5aWxurVqwkKCqJ169YsX76c69evAxAfH8/FixeLNP6SrKqrHT+/HMjFuBRGLTxIZrZe7ZBKtOSMbD5ec5ya7nYMaVpJ7XCEEKLISU4hhHGpU96B9a83Y0DjiszZfYFuP+3m7PUkYpMyuJKQSmxShsmurrI+PBpzMw3tfWRKijBuUtwoQk5OTgQFBeHr68vYsWNxc3PD29ubwYMH57lfgwYNCA4Oxs/Pj+DgYAIDA/Hx8eHzzz+nXbt2+Pn50bZtW6Kjo1V6JSVT4ypOfN3Lj3/Ox/HeyqOyRKyKJm8+RUxSOhN71sbcTN7GhBAFp2XLlqxbt07tMB5JcgohjI+1hRmfdvdl/pAGlHOwJuZWBj2mhxL01XZ6TA/lVEySyRU4DAYD68KjaVrVGXsbc7XDEeKhpOdGEVu8eHHu96mpqZw5c4a+ffvmuY+np2eerue39enThz59+hR2iOIhetT15GJcKlO2nKGikw2vt66mdkglzpHLicz/J5KXG1WkbgVHtcMRQgjVSE4hhHFqUd2F6q6leOHnf4hKSAMgKiGN4QsOsGp0EC52prOU6pGom1xJTOOtttXVDkWIR5JLnirZsmUL3t7evPbaa9jb26sdjngCb7SuRs+Acnz312lWHY5SO5wSJTtHz3srj+JqZ8k77WuoHY4QQhgFySmEMD56gyG3sHFbVEIamdmm1Ytj3ZGrWJhpaevjpnYoQjySjNxQSZs2bfKd3zpo0CAGDRpU9AGJx6bRaJjU04/oxHTGLQ/Hw96aRpWd1A6rRJgbGklE9C1m9A+gtJUMjRRCCJCcQghjZKEzw9PROk+Bw9PRmhwTmtas1xvYcDSa5tWdsbeWvEsYPxm5IcRTsNBpmflSPSqUsWHkwoOci01WO6RiLyohle/+Ok3rmq508JWGVkIIIYQwXk62FswaEIinozWgFDa+6eXHeyvCORAZr3J0j+fw5USu3kyns6ySIkyEFDeEeEr2NubMG9wAczMNg+fuJy45Q+2Qii2DwcD/rTmORgOfPu9739KGQgghhBDGRKvVUMPNjlWjgwh9txWrRgdRydmW6JsZ9J/9L9tOxqgd4iOtD4/GQqeljbdMSRGmQYobQjyD8mVsmD2wPteT0hm24ECxWtPcmGw8do1tJ6/zdtvqlHOwVjscIYQQQohH0mo1uNhZUs7RBhc7S9ztrfl9VGNquNsxfMFBVh4y3t5tt6ektKjugp1MBRYmQoobQjwj//IOTOlTl7DLifyw5TTXk9JNfj1zY3IrPYtP/jhOrbKlGdTES+1whBBCCCGemlMpSxYPb0SjymV4e9kRZu86r3ZI+Tp4KYFrt9LpIlNShAmR4oaJ6NSpE4mJiQ+9z//93/+xZcuWp3r+HTt20KVLl6d6rIAOvu5M6V2HptVc6Dl9j0mvZ25svtl0ihvJGUzsWRudmbxlCSHEs5KcQgh1lbLU8cug+nSq7c7n60/w1aaTGIys0ej68GgsdVpay5QUYUJktRQjZzAYMBgMbNiw4ZH3/fTTT4sgIvEgTao602P6nvvWM1/+ShPcS1upHJ1pOngxgUX/XmRQEy/8PB3UDkcIIUya5BRCGA9LnRk/9g3AweYYM3acIyElk8+f9zWKCzk5/01JaVXDlVKW8nFRmA71//cIvvvuO3x9ffH19WXKlClERkZSo0YNBgwYgK+vL5cvX8bLy4sbN24A8Nlnn1GjRg2aNm1K3759mTx5MqAs+bZ8+XIAvLy8+PjjjwkICKB27dqcPHkSgH379tG4cWPq1q1LkyZNOHXqlDovuhjKzNbnu575xRsp9A3Zy7TtZzkadVNGcjymrBw9H6w6intpK/7Xroba4QghhEmQnEII02Gm1fDF8768/lxVlu6/zKuLDxlF/7YDkfFcT8qQVVKEyZFSnMoOHjzI3Llz+ffffzEYDDRs2JAWLVpw5swZ5s+fT6NGjfLcf//+/axYsYIjR46QlZVFQEAA9erVy/e5nZ2dOXToENOnT2fy5MnMnj2bmjVrsmvXLnQ6HVu2bOH9999nxYoVRfFSi70HrWduqdOSmJbFN5tP8c3mUzjamNOkqjPNqznTtJqLNMh8gNm7LnDyWhIhL9eTqwZCCPEYJKcQwvRoNBreblcDR1sLJqyNYNDcfcwaEKhqE8/1R6OxMtfyXE1X1WIQ4mnIJ4a7TFh7nIirtwr0OX3KlubjrrUe+Pvdu3fTo0cPbG1tAejZsye7du2iYsWK9yUhAKGhoXTv3h0rKyusrKzo2rXrA5+7Z8+eANSrV4+VK1cCcPPmTQYOHMiZM2fQaDRkZWU9y8sTd7m9nvnwBQeISkjD09GaWQMCqeFmx8Y3mhGblEHo2Rv8fSaW3WdusD48GoDKLrY0q6oUOhpVLpN7MtPrDcSlZJKZnYOFzgwnWwu02pKxBOqluFR+2Hqadj5utKvlrnY4QgjxxCSnEEI8icFBlShja8H/lh3hxZC9zBvcABc7yyKPQ5mSco3narpiKxeXhImRv1gjdTsxeRaWlsobopmZGdnZ2QB89NFHtGrVilWrVhEZGUnLli2feT9Ccfd65vkVJFzsLHm+bjmer1sOg8HAmevJ/H06lt1nb/DbgcvM/+ciOq2GuhUcCA7wpFbZ0rzy66H7CiXFvcBhMBj4cM0xzDQaJnR/cBIvhBDi8UhOIYRp6O5fDntrc15ZdIgXZu5h4dCGlC9jU6Qx/HshjhvJGXTxK1uk+xWiIEhx4y4PuxpSWJo1a8agQYMYP348BoOBVatWsXDhQkJCQvK9f1BQECNHjuS9994jOzubdevWMWLEiMfe382bNylXrhwA8+bNK4iXIO5yez3zR9FoNFR3s6O6mx3DmlUmIzuHgxcT2H3mBrvO3MDR1iK3sAF3mpOuGh2kShW/KK0Nj+bv07F83NUHD3uZsiOEME2SUwghnkbLGq4sGtaQIfP2EzxjDwuGNqCme+ki2//68Giszc1oVUOmpAjTIw1FVRYQEMCgQYNo0KABDRs2ZNiwYTg6Oj7w/vXr16dbt274+fnRsWNHateujb29/WPvb9y4cbz33nvUrVs398qLUJ+lzowmVZwZ16Ema19rio9H6Xybk2Zmq99kqjDdTM3i07XH8fO0Z0BjL7XDEUIIkyI5hRDFQ72Kjvw+qjFajYbeM/9hf2R8kew3O0fPpmPXaO3tirWFWZHsU4iCpDEY26LKhSgwMJADBw7k2XbixAm8vb1ViujpJCcnU6pUKVJTU2nevDkhISEEBAQUyb5N8XiZotikDHpMD72vOemq0U1wsSu+y8q+tzKcZQeiWPNqEL7lHj/BFkIYt/zOv6ZOcopnZ4rHS4iiFJWQyoA5+7iSmMbCoQ2o5FyqUHuxhZ69Qf/Z/zLzpQA6+MpKKcI4PSynkJEbJmjEiBH4+/sTEBBAcHBwkSUhoujcbk7q6ahMy/B0tOarYD9+/fciWTl6laMrHPsj41my7zJDgryksCGEEEVEcgohjJenow2/j2pMVz8PsnIM9JgeStBX2+kxPZRTMUno9QV7jXpd+FVsLMxoKVNShImSnhsmaPHixWqHIArZ/c1JtWw7cZ0pW85y6NJNZvQPKFYdrDOz9by/8ijlHKx5s011tcMRQogSQ3IKIYybUylL3mlfk14z9xRqL7as/6aktPF2w8pcpqQI01R8Ph0JUczc25y0T4MKGID3Vx2l76y9/DKoPs6lir65aGEsURvy9znOXE9mzsDAYlW0EUIIIYR4Vjl6faH3YvvnXBwJqVl08ZPpKMJ0ybQUIUzIiw0qEPJyIKdjkgiesYeLcSlFun+93sCpmKQCGRap1xuITcrgYlwK1d3sGN2yMq293QohaiGEEEII02WhM8udqnybp6M1t9KzKaj2ievDoyllqaN5dZcCeT4h1CCXSIUwMW183Fg8vFHuEmFzBzWgtmfR9KiIS8lk+IID9w2LnDOwPmeuJ2Gm0aDVatBqNJhpQau5/b0GjQbM/vvextKMnBx45deDRCWk4elozc8v10OvNxR4cywhhBBCCFN2uxfb7RzM09Gab3vX4f2VR7G2MGNSTz8qONk89fNn5ejZdPwabX1kSoowbUZf3BgyZAjr1q3D1dWVY8eOARAfH0+fPn2IjIzEy8uLZcuWPXSpMyGKm4AKjiwf1YSBv+yjT8g/zHipHi0KudKekpFNXHJGvsMiE1MzGbP48GM/188v1+OzdRF5iiQjFx4s0LmjQgghhBDFwf292MxwtDbnhcDyfLnhBO2n/M3Y9jUY2MQLs6e4SLT77A1upmXRubZMSRGmzeinpQwaNIhNmzbl2TZp0iRat27NmTNnaN26NZMmTVIpuoIxdepUvL296d+/v9qhsHr1aiIiItQOQzyGqq6lWDm6CRWdbBk6bz8rD0UVyn5SMrKZseMcTb/axsX41HyHRZZ1sObPt5qz6c1mrH+9KWvHNGXNq0GsHN2E5aMas2xkY5YMb8SvwxqycGgDqrqUKvS5o0IIURJJTiFE8XS7F1s5Rxtc7CzR6bT0a1iBP99qTqPKZfh0XQQvzNzD2etJT/zc68OjsbPS0ay6cyFELkTRMfqRG82bNycyMjLPtjVr1rBjxw4ABg4cSMuWLfnqq6+KPrgCMn36dLZs2YKnp+cj75udnY1OV3j/bKtXr6ZLly74+PgU2j5EwXErbcVvIxsxcsFB3l52hOtJGYxsXhmN5tmndqRkZLPgn4uE/H2OhNQsWtZwoWIZ6/uGRc4aEEg5B+snmk4Sm5SBp6N1ngKHp6M1FjoZCimEEM9CcgohSpayDtb8Mqg+q8OuMGFtBJ1+2M0bbaoxonllzM0efR07M1vP5uPXaOfjjqXkYcLEGf3IjfzExMTg4aEMm3J3dycmJkbliJ7eqFGjOH/+PB07duTbb7/l+eefx8/Pj0aNGhEeHg7AJ598wssvv0xQUBAvv/wysbGxBAcHU79+ferXr09oaCgAycnJDB48mNq1a+Pn58eKFSsAeOWVVwgMDKRWrVp8/PHHufseP348Pj4++Pn58c4777Bnzx7++OMPxo4di7+/P+fOnSv6AyKeWGkrc+YNqU8XPw8mbTzJp+sinmnd87tHany16SR1yjuwanQT5g1uQE0P+9xhkaHvtmLV6CBquNk9cZ+M23NHb48CuV0kcbK1eOq4hRCipJOcQoiSSaPR0KOuJ3+91YK2Pm58s/kUz08L5fjVm4987O6zsSSlZ8sqKaJYMPqRG4+i0WgeepU6JCSEkJAQAGJjY4sqrMc2c+ZMNm3axPbt25kwYQJ169Zl9erVbNu2jQEDBhAWFgZAREQEu3fvxtramn79+vHWW2/RtGlTLl26RPv27Tlx4gSfffYZ9vb2HD16FICEhAQAvvjiC8qUKUNOTg6tW7cmPDyccuXKsWrVKk6ePIlGoyExMREHBwe6detGly5d6NWrl1qHRDwFS50ZU1+si6udFb+EXuB6Ugbf9a7zRBX4/EZqvNG6GnUr5O1nc+8StU8jv7mjBbGkrBBClGSSUwhRsrnYWTKtfwBdj0Xz4erjdP8plFEtqvBa66oPzAnXhUdT2kpHUFWZkiJMn0kWN9zc3IiOjsbDw4Po6GhcXV0feN8RI0YwYsQIAAIDAx/+xBvHw7WjBRkquNeGjo/XE2T37t25V0aee+454uLiuHXrFgDdunXD2lq5yr1ly5Y8c1hv3bpFcnIyW7ZsYenSpbnbbzdZXbZsGSEhIWRnZxMdHU1ERAQ+Pj5YWVkxdOhQunTpQpcuXQrk5Qr1aLUaPurijbu9JV9uOElccgYhAwIpbWX+0Mc9blGjMOKV5qFCiGJLcgohhEo6+HrQqLITn607wU/bz7Lp+DW+7uVHwD25XXpWDn8dj6GDrzsWOpMc0C9EHib5V9ytWzfmz58PwPz58+nevbvKERU+W1vb3O/1ej179+4lLCyMsLAwrly5QqlSpfJ93IULF5g8eTJbt24lPDyczp07k56ejk6nY9++ffTq1Yt169bRoUOHonopohBpNBpGNK/ClD7+HIhMoPfMf4i5lZ7vfVMyspm58xzNvt7OV5tO4ufpwMr/pp8UdmFDCCGEeiSnEKL4c7Cx4NvedZg3uD6pGdkEz9jDp2sjSM3Mzr3PrjM3SMrIprNMSRHFhNGP3Ojbty87duzgxo0beHp6MmHCBMaPH0/v3r2ZM2cOFStWZNmyZQWzs8e8GlJYmjVrxq+//spHH33Ejh07cHZ2pnTp0vfdr127dvz444+MHTsWgLCwMPz9/Wnbti3Tpk1jypQpgDKE9NatW9ja2mJvb09MTAwbN26kZcuWJCcnk5qaSqdOnQgKCqJy5coA2NnZkZT05F2WhXF5vm45ytha8Mqig/ScvoclIxpiba4jMzsHM62WPedi+Xz9SeJTMmlR3YU32lS7r5ovhBDiGUhOITmFEEagZQ1X/ny7BV9tPMkvoRfYciKGH/v6U9bBBvfSlsweGEiTKk5qhylEgTD64saSJUvy3b5169YijqTwffLJJwwZMgQ/Pz9sbGxyR6fca+rUqbz66qv4+fmRnZ1N8+bNmTlzJh9++CGvvvoqvr6+mJmZ8fHHH9OzZ0/q1q1LzZo1KV++PEFBQQAkJSXRvXt30tPTMRgMfPfddwC8+OKLDB8+nKlTp7J8+XKqVKlSZK9fFKzm1V34bWRjvtl8kqiENMYtD89d4eSrYD+61ylLV/+yUtQQQohiSHIKIcRtpSx1fPa8L539PJgfeoHkjBx6TA/Ns/Ld0zSIF8LYaAwGw9Mvq2BiAgMDOXDgQJ5tJ06cwNvbW6WITI8cL9MTlZDKiyF771t2ddXoIOl5IYQoEvmdf02d5BTPTo6XEEUv5lY6wTP2SF4oTNbDcgqT7LkhhHh8GshzAuO/nzOzc9QJSAghjMzly5dp1aoVPj4+1KpVix9++EHtkIQQolBk5+glLxTFlhQ3hCjmLHRmeDpa59nm6WiNxRMsEyuEEMWZTqfj22+/JSIigr179zJt2rQ8K4gIIURxIXmhKM6kuCFEMedka8GsAYG5J7LbcyudbC1UjkwIIYyDh4cHAQEBgNIE09vbmytXrqgclRBCFDzJC0VxZvQNRYuCwWBAo5EGOo9SgtqzFCtarYYabnasGh1EZnYOFjoznGwtpGmUEELkIzIyksOHD9OwYcOnerzkFI9Hcgoh1CF5oSjOSnxxw8rKiri4OJycnCQZeQiDwUBcXBxWVlZqhyKeglarkSZRQgjxCMnJyQQHBzNlypR8l00NCQkhJCQEgNjY2Pt+LznF45GcQgh1SV4oiqsSX9zw9PQkKioq3yRF5GVlZYWnp6faYQghhBAFLisri+DgYPr370/Pnj3zvc+IESMYMWIEoHRrv5fkFI9PcgohhBAFrcQXN8zNzalUqZLaYQghhBBCJQaDgaFDh+Lt7c3bb7/91M8jOYUQQgihHmkoKoQQQogSLTQ0lIULF7Jt2zb8/f3x9/dnw4YNaoclhBBCiCdQ4kduCCGEEKJka9q0qTS4FEIIIUycjNwQQgghhBBCCCGESdMYStClCmdnZ7y8vAr8eWNjY3FxcSnw5xWPJsdePXLs1SHHXT1y7J9eZGQkN27cUDuMAiU5RfEjx14dctzVI8dePXLsn97DcooSVdwoLIGBgRw4cEDtMEokOfbqkWOvDjnu6pFjL4qC/J2pR469OuS4q0eOvXrk2BcOmZYihBBCCCGEEEIIkybFDSGEEEIIIYQQQpg0KW4UgBEjRqgdQoklx149cuzVIcddPXLsRVGQvzP1yLFXhxx39cixV48c+8IhPTeEEEIIIYQQQghh0mTkhhBCCCGEEEIIIUyaFDeewaZNm6hRowZVq1Zl0qRJaodTonh5eVG7dm38/f0JDAxUO5xibciQIbi6uuLr65u7LT4+nrZt21KtWjXatm1LQkKCihEWX/kd+08++YRy5crh7++Pv78/GzZsUDHC4uvy5cu0atUKHx8fatWqxQ8//ADI374oPJJTqEdyiqIjOYV6JKdQj+QURUeKG08pJyeHV199lY0bNxIREcGSJUuIiIhQO6wSZfv27YSFhckySoVs0KBBbNq0Kc+2SZMm0bp1a86cOUPr1q0lES8k+R17gLfeeouwsDDCwsLo1KmTCpEVfzqdjm+//ZaIiAj27t3LtGnTiIiIkL99USgkp1Cf5BRFQ3IK9UhOoR7JKYqOFDee0r59+6hatSqVK1fGwsKCF198kTVr1qgdlhAFrnnz5pQpUybPtjVr1jBw4EAABg4cyOrVq1WIrPjL79iLouHh4UFAQAAAdnZ2eHt7c+XKFfnbF4VCcgpRUkhOoR7JKdQjOUXRkeLGU7py5Qrly5fP/dnT05MrV66oGFHJotFoaNeuHfXq1SMkJETtcEqcmJgYPDw8AHB3dycmJkbliEqWn376CT8/P4YMGSJDGItAZGQkhw8fpmHDhvK3LwqF5BTqkpxCXfK+qi7JKYqW5BSFS4obwiTt3r2bQ4cOsXHjRqZNm8bff/+tdkgllkajQaPRqB1GifHKK69w7tw5wsLC8PDw4H//+5/aIRVrycnJBAcHM2XKFEqXLp3nd/K3L0TxIDmF8ZD31aIlOUXRkpyi8Elx4ymVK1eOy5cv5/4cFRVFuXLlVIyoZLl9rF1dXenRowf79u1TOaKSxc3NjejoaACio6NxdXVVOaKSw83NDTMzM7RaLcOHD5e//UKUlZVFcHAw/fv3p2fPnoD87YvCITmFuiSnUJe8r6pHcoqiIzlF0ZDixlOqX78+Z86c4cKFC2RmZrJ06VK6deumdlglQkpKCklJSbnf//nnn3k6P4vC161bN+bPnw/A/Pnz6d69u8oRlRy3T4IAq1atkr/9QmIwGBg6dCje3t68/fbbudvlb18UBskp1CM5hfrkfVU9klMUDckpio7GYDAY1A7CVG3YsIE333yTnJwchgwZwgcffKB2SCXC+fPn6dGjBwDZ2dn069dPjn0h6tu3Lzt27ODGjRu4ubkxYcIEnn/+eXr37s2lS5eoWLEiy5YtkyZVhSC/Y79jxw7CwsLQaDR4eXnx888/587XFAVn9+7dNGvWjNq1a6PVKtcBvvzySxo2bCh/+6JQSE6hDskpipbkFOqRnEI9klMUHSluCCGEEEIIIYQQwqTJtBQhhBBCCCGEEEKYNCluCCGEEEIIIYQQwqRJcUMIIYQQQgghhBAmTYobQgghhBBCCCGEMGlS3BBCCCGEEEIIIYRJk+KGEMLofPLJJ0yePFntMIQQQghh4iSnEKLkkOKGEEIIIYQQQgghTJoUN4QQRuGLL76gevXqNG3alFOnTgEwa9Ys6tevT506dQgODiY1NZWkpCQqVapEVlYWALdu3crzsxBCCCFKNskphCiZpLghhFDdwYMHWbp0KWFhYWzYsIH9+/cD0LNnT/bv38+RI0fw9vZmzpw52NnZ0bJlS9avXw/A0qVL6dmzJ+bm5mq+BCGEEEIYAckphCi5pLghhFDdrl276NGjBzY2NpQuXZpu3boBcOzYMZo1a0bt2rX59ddfOX78OADDhg1j7ty5AMydO5fBgwerFrsQQgghjIfkFEKUXDq1AxBCiAcZNGgQq1evpk6dOsybN48dO3YAEBQURGRkJDt27CAnJwdfX191AxVCCCGEUZOcQojiT0ZuCCFU17x5c1avXk1aWhpJSUmsXbsWgKSkJDw8PMjKyuLXX3/N85gBAwbQr18/ucIihBBCiFySUwhRcmkMBoNB7SCEEOKLL75g/vz5uLq6UqFCBQICArC1teXrr7/GxcWFhg0bkpSUxLx58wC4du0alSpVIjo6GgcHB1VjF0IIIYTxkJxCiJJJihtCCJO0fPly1qxZw8KFC9UORQghhBAmTHIKIYoH6bkhhDA5r732Ghs3bmTDhg1qhyKEEEIIEyY5hRDFh4zcEEIIIYQQQgghhEmThqJCCCGEEEIIIYQwaVLcEEIIIYQQQgghhEmT4oYQQgghhBBCCCFMmhQ3hBBCCCGEEEIIYdKkuCGEEEIIIYQQQgiTJsUNIYQQQgghhBBCmDQpbgghhBBCCCGEEMKkSXFDCCGEEEIIIYQQJk2KG0IIIYQQQgghhDBpUtwQQgghhBBCCCGESdOpHUBRcnZ2xsvLS+0whBBCiBIlMjKSGzduqB1GgZKcQgghhCh6D8spSlRxw8vLiwMHDqgdhhBCCFGiBAYGqh1CgZOcQgghhCh6D8spZFqKEEIIIYQQQgghTJoUN4QQQgghhBBCCGHSpLghhBBCCCGEEEIIk1aiem4IIYQQTyorK4uoqCjS09PVDsXoWVlZ4enpibm5udqhCCGEEEZHcorH9zQ5hRQ3hBBCiIeIiorCzs4OLy8vNBqN2uEYLYPBQFxcHFFRUVSqVEntcIQQQgijIznF43nanEKmpYiH0usNxCZlcCUhldikDPR6g9ohCSFEkUpPT8fJyUmSkEfQaDQ4OTnJ1SghCojkYEIUP5JTPJ6nzSlk5IZ4IL3ewKmYJIYvOEBUQhqejtbMGhBIDTc7tFr5DymEKDkkCXk8cpyEKBiSgwlRfMm58vE8zXGSkRvigWKTM3JPqgBRCWkMX3CAuJRMlSMTQojiKTExkenTp6sdhhAlijGOkIhLyZQcTAjxTEpiTiHFDZFHSkY268OjeW3JYS7GpeSeVG+LSkgjIztHpeiEEKJ4K4mJiBBquj1Cosf0UIK+2k6P6aGciklStcCRozcQl5yRbw6WKTmYEOIxlcScQoobgpupWaw8FMXwBQcI+OwvXl18iD1nb2Cm1eDpaJ3nvp6O1py8lsR3f50mLjlDpYiFEKJ4Gj9+POfOncPf358XXniB1atX5/6uf//+rFmzhnnz5tG9e3datmxJtWrVmDBhQu59Fi1aRIMGDfD392fkyJHk5MgHISEexthGSJyJSaLXzD1cjE/NNwez0JmpEpcQwvSUxJxCihslVGxSBov/vcTLc/6l3ud/8fayIxy7cpO+DSqwdEQj9n3QhrrlHZk1IDD35OrpaM2M/gHsPx/Hj9vO0GTSNj5cfZSLcSkqvxohhCgeJk2aRJUqVQgLC2PMmDHMmzcPgJs3b7Jnzx46d+4MwL59+1ixYgXh4eH8/vvvHDhwgBMnTvDbb78RGhpKWFgYZmZm/Prrryq+GiGMX0pGdr4jJNKzijaJz8rR8+PWM3SeupvIGylY6rT35WA/9PHHydaiSOMSQpiukphTSEPRYkivNxCXkklmdg4WOjOcbC3QajVcTUxj07FrbDp+jf2R8RgMUNHJhqHNKtHR1wO/cvb3Namq4WbHqtFBeZ6rtqcDL9SvwOxd51m2P4rF/16io68HI5pXpk55B3VetBBCFDMtWrRg9OjRxMbGsmLFCoKDg9HplNN227ZtcXJyAqBnz57s3r0bnU7HwYMHqV+/PgBpaWm4urqqFr8Qxu56UjoXbqTg6Widp8Dh6WjN6Zgk/j4TS5/A8ujMCvda4LErNxm3PJyI6Ft08fPgk261cC5liV5vyM3Bridl8OnaCHoElGNAY69CjUcIUfyUlJxCihvFTH7dtaf2rcuSvRf5/dAVQClYvP5cNTr4ulPT3e6hnWi1Wg0udpb3ba/qWopJwX683bY68/ZEsnDvRdYfjaZxZSdGtqhMi+ou0glYCCGe0YABA1i0aBFLly5l7ty5udvvfX/VaDQYDAYGDhzIxIkTizpMIUxOamY2Q+cdwMbcjBkv1eOVRQdz86YZL9Vjyb8XWbzvMgv/uchHXXwIqupc4DGkZ+UwdesZfv77PGVsLfj55Xq0r+We+/u7czB3e2ucSlkwYW0EFZ1saVHdpcDjEUIUbyUhp5DiRjGT39zR15ccZmLP2lRyLUWHWu5UdilVYPtzLW3FuA41Gd2qKkv3XWLO7gsMmrufmu52jGhema51ymJeyFc8hBCiuLCzsyMpKSn350GDBtGgQQPc3d3x8fHJ3f7XX38RHx+PtbU1q1ev5pdffsHGxobu3bvz1ltv4erqSnx8PElJSVSsWFGNlyKE0crRG3h9yWGOX71JyMuB1PIofd8o1S961KZZNRe+2HCC/rP/pY23Gx909qaSs22BxHDwYgLjlh/hXGwKL9Tz5MPOPtjbmD/w/mZaDT+8WJdeM/9hzK+HWDG6CdXd7AokFiFE8VQScwr51FmMhEclcu1mWr5zRys72zK6ZdUCLWzcrZSljmHNKrNzbCu+faEOeoOBt5cdocXX25m96zzJGdlGudSaEEIYEycnJ4KCgvD19WXs2LG4ubnh7e3N4MGD89yvQYMGBAcH4+fnR3BwMIGBgfj4+PD555/Trl07/Pz8aNu2LdHR0Sq9EiGMk8FgYMLa42w5cZ1PutWijY9b7giJco42uNhZotVq0Gg0dKztwZa3WzCuQw3+OXeDdt/v5PN1EdxMy3rq/admZjNh7XF6zdxDepae+UMa8M0LdR5a2LjN1lLHnIGBWFmYMWTefm5IY3chxEOUxJxCRm6YuKwcPZuOXWNu6AUOXUpk1oB6+c4dLaru2hY6LcH1POkZUI4dp2KZufMcn68/wfaTMbzdriZvLD2cO+xz1oBAarjZ3dfnQwghSrLFixfnfp+amsqZM2fo27dvnvt4enrm6Xp+W58+fejTp09hhyiEyZqz+wIL/rnI8GaVHqt3hZW5GaNbVqVXPU++3XyaOaEXWHn4Cm+1rU7f+k/WjyP07A3GrwzncnwaAxpXZFyHmpSyfLJUvKyDNbMHBNIn5B9GLjzIr8MaYmUuK6gIIfJX0nIKGblhohJSMpm2/SzNv97Oa0sOE5eSyf918aFxZaf7umvPGhBY5N21NRoNrWq68tvIxqx+NYjXW1fPLWyA+kutCSGEsduyZQve3t689tpr2Nvbqx2OECZv49Fovthwgk613Xmvo/cTPdbVzoqvevmxdkxTqrqW4qPVx+g8dTe7zsQ+8rG30rN4b2U4/Wf/i06r5bcRjfi0u+8TFzZuq1Pege96+3PwYgLjV4RjMMhIWCHEw5WUnEJjKEHviIGBgRw4cEDtMJ7JyWu3mBcayarDV8jI1tO0qjODg7xoWcMVs/9GQDxotRQ1XUlIJeir7fdtD323FeUcbVSISAghHs+JEyfw9n6yD0IlWX7Hqzicf+9VHF9TcXbwYgL9Zu2lVtnSLB7e6JlGOxgMBjYfv8YXG05wOT6NNt6uvN/JO9+pv1tPxPDBqmNcT0pneLPKvNW2eoGNtJi2/SzfbD7F222r83rragXynEKIwiU5xZN50pxCpqWYgBy9ga0nYpgbGsk/5+OwMtfSM8CTwUFe+TaTetAKJ2qy0JnlO13mVno2ZQ0GWVlFCCGEEIUi8kYKwxccwN3eilkDAp+5uKDRaOjg60HLGq7MDY1k2vaztPv+bwY28eKN1tXIyNaTnpVD9M10ftp2Fntrc35+uR51yjsUzAv6z+iWVTgXm8x3f52mkrMtXeuULdDnF0IIUyPFDSOR32iL5Mxslu2/zIJ/LnIpPpWy9la826EmfRuUx8GmaKeZPCsnWwtmDQjMs0Ttt73r8P7KoziVsuSr4No4lTKugowQQgghTFt8SiaD5+3HYDAwb3CDAs01rMzNeKVlFYLrleO7P09z6GICx67eZNzy8NxcZ+qLdalVtjSWhdAXQ6PRMLFnbaLi03jn9yN4OlpTt4Jjge9HCCFMhRQ3jIBeb+BUTFKeD/5T+vgzefMp9l6Ip76XI+M71qSdj9sTNa4yJlqthhpudnmWWnO0Nqeznwdfbz5F+ym7+LpXbZ6r6aZ2qEIIIYQoBtKzchix4ABXEtNYMrxhgS3jei9XOysmBftxMS6F/rP/zdNf7PWlh1k1OgiXQmr6aakzY+bL9Xh+WijDFxxg9atBeMp0XyFECWWan5SLmbiUzNzCBignwzd/C+N/7Wuw7rWm/D6qCZ1qe5hsYeO2e5da0+m0DGtWmT/GBOFcyoIh8w7wwaqjpGZmqx2qEEIIIUyYXm/gf78f4cDFBL7v7U+9imUKfZ86rSbP9FtQcrrM7JxC3W8ZWwt+GRRIRraeYfMPkJT+9EvVCiGEKTPtT8vFRGZ2Tr4nw7L2VviWK77dbG+r6V6aNWOCGNG8Mov3XaLz1N2EXU5UOywhhDApnTp1IjEx8aH3+b//+z+2bNnyVM+/Y8cOunTp8lSPFaKofbX5JOvDo3mvY006+3kUyT5v9xe7m6ejNRa6wl+qtaqrHTP61+PM9WReX3KYHH3hrReg1xuITcrgSkIqsUkZ6AtxX0IIdZhqTiHFDSOgM9OqdjI0FpY6M97v5M2vwxqSkZVD8Iw9/LDlDNk5erVDE0IIo2YwGNDr9WzYsAEHB4eH3vfTTz+lTZs2RROYECpZtPciP+88z0uNKjCieeUi2+/t/mK3czpPR2tmDQjEybZo+qQ1rebMhG612H4qli/WnyiUfdyeSt1jeihBX22nx/RQTsUkSYFDiGLC1HMKKW4YgZ0nr/NVsJ9qJ0Nj0qSKMxvfbE4XPw++33KaF37+h4txKWqHJYQQqvruu+/w9fXF19eXKVOmEBkZSY0aNRgwYAC+vr5cvnwZLy8vbty4AcBnn31GjRo1aNq0KX379mXy5MkADBo0iOXLlwPg5eXFxx9/TEBAALVr1+bkyZMA7Nu3j8aNG1O3bl2aNGnCqVOn1HnRheDy5cu0atUKHx8fatWqxQ8//ADA2LFjqVmzJn5+fvTo0eORV6uE8dp2Mob/W3OM52q68knXWkW6Gtvd/cVC323FqtFB1HCzQ6stuhhealSRIUGV+CX0Aov2Xiyw583K0bPn7A3CLifeN5V6+IIDxKVkFti+hBCFqzjnFNJQVGVnryfx4ZrjDG9WKU+zTSdbiyI9GRoTe2tzfnixLq293fhw1VE6/rCL/+viQ5/65WXJWCGEqiasPU7E1VsF+pw+ZUvzcddaD/z9wYMHmTt3Lv/++y8Gg4GGDRvSokULzpw5w/z582nUqFGe++/fv58VK1Zw5MgRsrKyCAgIoF69evk+t7OzM4cOHWL69OlMnjyZ2bNnU7NmTXbt2oVOp2PLli28//77rFixokBfs1p0Oh3ffvstAQEBJCUlUa9ePdq2bUvbtm2ZOHEiOp2Od999l4kTJ/LVV1+pHa54Qseu3GTM4sP4lC3Nj33rqtKr7HZ/MTV90NmbyLgUPv7jOBWdbGhWzeWpnictM4edp2P5M+IaW09c52ZaFr+NbKRKXxEhiiPJKQqeFDdUpNcbeHfFUWwszRjctBLOshRqHt3qlCWwoiPv/H6E8SuPsuXEdSYF15bjJIQoUXbv3k2PHj2wtVVWeujZsye7du2iYsWK9yUhAKGhoXTv3h0rKyusrKzo2rXrA5+7Z8+eANSrV4+VK1cCcPPmTQYOHMiZM2fQaDRkZRWf5oQeHh54eCj9F+zs7PD29ubKlSu0a9cu9z6NGjXKvRIlTMeVxDQGz9uPo40Fvwysj61lyU1xzbQapvatS68Zexj96yFWjW5CVVe7x3psQkomW09eZ/Pxa+w6E0t6lh57a3Nae7vSzsedik62eDpa5ylweDpaczEulWy9gYpOhbMijRCiYBT3nKLkvvMbgYV7L3LwYgLf9a4jH9gfoKyDNYuGNuSX0At8vekUHab8zde9/GhZ3ZW4lEwZ6SKEKFIPuxpS1G4nJs/C0lI595iZmZGdraxU9dFHH9GqVStWrVpFZGQkLVu2fOb9GKPIyEgOHz5Mw4YN82z/5Zdf6NOnj0pRiadxMy2LwXP3kZ6Vw6/DGuJa2krtkAqGXg+psZCdCToLsHEB7eONRillqWPOoPp0/ymUwfP2s3p0EE4PyDWjElL5KyKGP4/HsC8ynhy9AQ97K/oElqd9LXfqVyqD+X+jYPR6A7MGBOZOTfF0tObHvnX5etNJDl9O5H9tazA4yMvkV/gToihITlHwjP6d50HzY+Pj42nbti3VqlWjbdu2JCQkqBzpk4lKSOWrTSdpXt2FHnXLqR2OUdNqNcqSsa8F4VzKkh+3nuXQpQSjbGYlHcSFEAWtWbNmrF69mtTUVFJSUli1ahXNmjV74P2DgoJYu3Yt6enpJCcns27duifa382bNylXTjkvzZs371lCN1rJyckEBwczZcoUSpcunbv9iy++QKfT0b9//3wfFxISQmBgIIGBgcTGxhZVuCIft8+3UQmpHL9yEztLHT+/VI/qbo83QsHo6fVwPQJmt4Epvsrt9Qhl+2Mq52DN7IGBXL+VweQ/TxJzK/2//CSdCzdSmLr1DF1+3EXTr7YzYW0EcSkZvNKiCn+MCWLP+OeY0N2XJlWdcwsbkH9fkTqeDnzXx5+mVZ35YsMJes7Yw4nogh1qL4QoGMU9pzD6kRsPmh87b948Wrduzfjx45k0aRKTJk0ymfmxBoOBD1YdA+DLHr4lp4/EM1yBgDtLxp64eosxSw7f18xq7qD63ErPooytJWVsLShtpXusY6vXGwpkFMjtDuJ3X82YNSCwyJuJCSGKl4CAAAYNGkSDBg0AGDZsGI6Ojg+8f/369enWrRt+fn64ublRu3Zt7O0ff1nxcePGMXDgQD7//HM6d+78zPEbm6ysLIKDg+nfv3/uEFpQkq5169axdevWB547RowYwYgRIwAIDAwsknjF/fI73/7ULwC/co//d260stIh8RJggKV9//se5XZpXxi2BUq5PfbT+Zd3YPbAemg1WoJn7Mk9Xl8F+7H95HUszLS817Em7Wq5U8n58a7c5tdXxMNeyXnWhUfzyR/H6frjbka1qMKY56piZV5yVv8TwtgV95xCYzAYTOrScvfu3RkzZgxjxoxhx44deHh4EB0dTcuWLR/ZfTUwMJADBw4UUaQPtvJQFG8vO8InXX0YFFRJ7XCKxu0rELdP1A4V4MUl4OrzRAUOgCsJqYxZfJAPW7rgaqPheqqBz3fEMr6jD31C9ubez9xMQxlbC8rYWuJka4FTKQvK2FrgdHtbKQs8Ha0xGGDUooO5J/yZL9VDo4EbyZmkZmSTkplDWqZye/vn1MwcUjOzScn47zYzh7fbVuODVcfum4e6anSQ6s3FhBBP78SJE3h7e6sdxhNJTk6mVKlSpKam0rx5c0JCQggICCiSfed3vIzl/GswGBg4cCBlypRhypQpuds3bdrE22+/zc6dO3Fxebzmi8bymkqi2KQMekwPNc7z7aMu5BgMkJYA8Rcg4b+v+EhIiFS+v3UVMMCg9TAvnw8Co3ZDajxUaAS6x3utDzpey0Y2pqyD9TO93PwkpGTy2foIVh66QhUXW74K9iPQq0yB70cIUyQ5xZN50pzC6Edu3O3u+bExMTG5TcHc3d2JiYlRObrHcyM5g0/XRVCvoiMvN/ZSO5yikRIHSdH5X4Ho8j3s/BqsHMDa4c6tteM92xxzv7ex0DK3ky0Oa16AxEuUd6jA3O7zSXO0Yt7g+sSnZBKXnElcSibxKRnKzymZXL6cSlxyJskZ2bmh/fxyPT5bF5FnFMioRQf5qIsPIxcevO+laDRgY26GjaUOWwszbCx02FiYYW9tjqONhXQQF0IYhREjRhAREUF6ejoDBw4ssiTE2IWGhrJw4UJq166Nv78/AF9++SWvv/46GRkZtG3bFlCais6cOVPFSMXDZGbnGOf5Nr8LOb3mwpWDcDH0v4LGRci4mfdxpdyhTCWo1BwcKynf23koj7+dN4Hyc8JF+K0/6KzBKwgqt4Iqz4Grt5Kk5ONBx6uwrm862lrwXW9/uvuX4/2VR3nh5394uVFFxnWoSakS3OhVCFNlSjmFybzDPGh+LIBGo3ngENKQkBBCQkIAjGJ+7Cd/HCc1I4evgmtjVpynKqQlwsn1cGwFnN8BA//Ie4IG5WfrMqCzguRrEHtSedy9J/17OLy4GM2m8XkKJQ5rBmI/YA0eXq5g6frQx6dn5ZCQqhRArM3N8j3hV3UtxYpXmmBjYYathQ4bS+XWylz7wL+12KSMfDuIW+hkOKYQomgtXrxY7RCMUtOmTfP9QNepUycVohFPK1tvMJ7zbXamUtCIDgMXb1g5LO+FnOWDof1EiDmuFC4qNAJHrztFDIeKYGFz//Pq9coI13tHvDp6Qd+lcG47nN8Of36g3L+UO1RppRQ7KrcEuztTVyx0ZrT3cWFEvdK5I15DDt4q9OPVoroLf77VnMl/nmLenki2RMTwRY/atKr58DxNCGFcTCmnMIniRn7zY93c3IiOjs6dluLqmv8bpTHNj/0rIoZ14dH8r231x16Sy6RkJMGpjXBsJZzbCjmZykk76HUoXS7/KxD25ZTCx930OZB+Uxm2mZ6oFDzSE5Wf0xLR2JfPt1CiuXUVptYF+/LgUgOcayi3LjXAuTrYKEMirczN8LC3xsPemtikjHxP+KWtzKniUuqJXr6TrcV9HcS/7+NPGRvzJz6UQgghhLjf9VvpfPrHcb7p5cfY5eF5elw52VoU7s6zMyH2BFwNg6uHlYJGzHEl3wEYvDH/CzkedeC1+0eDPpRWq0zdHbbl/ikuNToqXwA3o5RCx7ltcHozHFmibHfzVYocVZ7DqXxjprWxRrfszojXab0Xo7Up/I8BtpY6Pu5aiy5+ZRm/IpzB8/bT3b8s/9fF54GrtwghxNMy+uKGwWBg6NCheHt78/bbb+du79atG/Pnz2f8+PHMnz+f7t27qxjlo91Kz+LD1Uep6W7HyBZV1A6n4GSmwpnNSkHjzJ+Qna4UMhqMAN+eUDZAGSb5oCsQNvnMbdaaKYUImwfMz0yOyb9QYuMMrT6EG6eUUSCRu5V4brN1vVPscKkJztVxcvUpsBP+3R3EM7NziEvJ5OM1x+kZUK7kTEESQgghCkl6Vg4jFh7kdEwS73f2yT3fPvOS8Pn1yTDkKCMyroYpRYyrh/MWMiztoWwdaDgKyvqDhz9Ylso/P9E9ZdFFq31081B7Twh4WfnS6+FauFLoOL8d9oXAPz+hfXEx2ntGvOqW9Xvi5qTPol5FR9a93pTp288xfcdZdp25wXe961CrbGkys/XP/m8ohBCYQHHjQfNjx48fT+/evZkzZw4VK1Zk2bJl6gb6CJM2niQ2KYOQlwOx0Bn9Crx35HfC12fB2S3KlJNTmyArRSkcBAxUChqeDe5vEvqwKxBPysYl/0KJc3VoMfau2HOU3984rRQ7Yk8rhY/wZZChLFGm7bMI7eb3C+yEf3cHcQ97axxszPl0XQS1ytkTUOHBnYiFEEII8WAGg4H3Vx4l7HIiM1+qRxXXJxtd+UD59cl4fiZs/Qwu/6PcJ79CRpnK9/e4eJILOYVBq1XiK+sPzd5WLkBd3AOlXPMfUXIzCv6ZDu61lZEeTlXBrPA+GljqzHirbXU6+3kw6+/zmJtp6TF9j6wwJ4QoMEZf3HjQ/FiArVu3FnE0T2fv+TgW/3uJ4c0qUae8g9rhPL78Tvg9Z8G2LyFyp9Ivw6+3UtCoGKSMuHiYx7kC8Tget1CiNVPms5apBNXb39luMEDSfz0+Srnlf8LPytuH4+nC1DClT126/rSb0YsOse71pjjLEEwhhBDiic3adZ6Vh6/wdtvqdPB1f7Yny8mC6HC4uBvK1oM1r+Ttk7F6lNIINPHigwsZ+SnICzkFwcIGqrV58IjXtET4Z5py0QrAzBJca4JbbXCrBe6+StHj3pG0j1oR5hGqu9kxtkMNev5X2ACl39nwBQeMY8UbIYTJMvrihqlLz8ph/IpwKpSx4e22NdQO58mkxt6/wsnK4UqBI/N1qNQCzFTqJ/EshRKNBkp7KF8POuHHHIfd30PjMeBc7anDtLcxZ8ZLAfScvofXFh9m4dAG6MxMaOSOEMIoTJ06lRkzZhAQEMCvv/6qaiyrV6+mevXq+Pj4qBqHKDm2n7zOxI0n6Vzbg9eeq/rkT5CdAVcOKSuWXAyFS/8qo04BhvyZ/0WOUm7g+RS92grqQk5BetCIV1cfeP+qMsI15jjEHIVrx5TpxmGL7jy+dDml2OHmC15NlWnAy166/7meoMCRla03zhVvhCgBinNOIcWNQjZlyxki41JZPKwh1hYmtGrGrauQHJv/Cb90OXAor05cBS2/E36fRXB2K4QtgYPzoUYnaPKa0uH8ca7c3KNWWXu+7FGb//1+hG/+PMV7HU1rbWshhPqmT5/Oli1b8PT0fOR9s7Oz0ekK7/S+evVqunTpIsUNUSTOXk/i9SWH8fEozTcv+N1Zsexhowey0iBqP0T+V8yI2n+nB5erD/j3U5ZRrdAENBRsnwxj9LARJVoLZYSGuy/Q585jkmIg5pjyde2/23PboFzAncIGKLdL+8LQv8Du8UfUWOjMjGfFGyFKmOKcU0hxoxAdu3KTWbvO0yewPE2qOqsdzuNJjlVGLOyfDb1+KbknfI86UPdl2D8L9s2CU+uhXKBS5PDu+ugpOPcIrufJ4csJ/LzzPP6eDnSs7VFIL0gIUdyMGjWK8+fP07FjRwYNGsSuXbs4f/48NjY2hISE4OfnxyeffMK5c+c4f/48FSpUYOrUqYwaNYpLl5T37ylTphAUFERycjKvvfYaBw4cQKPR8PHHHxMcHMwrr7zC/v37SUtLo1evXkyYMAGA8ePH88cff6DT6WjXrh09e/bkjz/+YOfOnXz++eesWLGCKlWKUZNsYVQSUzMZNv8AluZaQgYEYmPxX9qa37TZF+YrozOO/g5XDv431UKj9JMIHKJMn63YJP8pFmr2ySgqTzqixM5N+ara+s627AylT0d+F77iz8PaN6FSc+XrESM58lth7tvedWSFOSEKWXHPKaS4UUiycvSMWx6Ok60F73c2gSv1aQmw5yfYOwOy06BOXyhbt2Sf8Eu5QKv3IehNCPtVmZf6+0BljfnGY5QrPxa2j72bj7r4cOzKLcYuD6eamx1VC6oZmhCi6GwcD9eOFuxzuteGjpMe+OuZM2eyadMmtm/fzoQJE6hbty6rV69m27ZtDBgwgLCwMAAiIiLYvXs31tbW9OvXj7feeoumTZty6dIl2rdvz4kTJ/jss8+wt7fn6FHlNSQkJADwxRdfUKZMGXJycmjdujXh4eGUK1eOVatWcfLkSTQaDYmJiTg4ONCtWze6dOlCr169CvY4CHGX7Bw9YxYf5mpiOktGNKScg/WdX+Y3bfb3gdB+IuizodEryvSJ8g3B2uHhOzK2PhnGTGf54BVhNGZK0/bTG5VtNk7g1UwpdFRueV/fkntXmEtMy+LDVcf4X7saNK1mIhcEhXhWklMUeE4hxY1CEvL3eSKibzHzpXrYWxtxFTojCf6dCXt+hPSbUKsntHwPXKorv7fzkBO+hQ00GK5c+Tm5HvZMhQ3vwPYvoP4wZdnbUq6PfBpLnRkzXgqgy9TdjFp0kDWvBmFrKf8FhRCPb/fu3axYsQKA5557jri4OG7dUlZ/6tatG9bWygfALVu2EBERkfu4W7dukZyczJYtW1i6dGnudkdHZRWnZcuWERISQnZ2NtHR0URERODj44OVlRVDhw6lS5cudOnSpahephB8vv4Eu8/e4OteftSreNdoC4MBUhPyHz3gXhuGP0WzeWPsk2GsHta/4/XDkHgZInfBhb/h/E6IWK08rnS5O6M6KjUHe0+0GHDRJIImEw87C1xLmfPN5pMEVQ26M/1ICFFoimNOIZ+sCsG52GR+2HqGTrXdn72jd2HJSoP9c2D3d5AaB9U7wnMfKInB3eSEf4fWDHy6KV+X9ioFob8nQ+hUqNNHGc3hVO2hHcQ97K35sW9dXprzL+NWhPNT37pyAhfClDzkaojabG3vjCTT6/Xs3bsXKyurRz7uwoULTJ48mf379+Po6MigQYNIT09Hp9Oxb98+tm7dyvLly/npp5/Ytm1bYb4EIQBYuu8S8/ZEMrRpJXoH3tXjK/Y0rH8bGo7Mf/SA+aP/3sUzetRIF4fyyshW/35KISruHFzYqRQ7zvwJR5Yo9/PuBo1fVRrVJ15C61CBH3r9St81GWw+fo0OvjJ9V5QAklMUeNwl7BJ84dPrDby34ijW5mZ80q2W2uHcLztT6acxtS78+V8xY9hW6Lf0/sKGeLAKjeDFX2HMAajbH8KXwZrRcHkvzG4DU3yV2+sRynzeuzSp6szY9jVZHx7NnN0XVHoBQghT1KxZs9zO5jt27MDZ2ZnSpUvfd7927drx448/5v58e5hp27ZtmTZtWu72hIQEbt26ha2tLfb29sTExLBxozKsPDk5mZs3b9KpUye+//57jhw5AoCdnR1JSUmF9RJFCbfvQjwfrTlG8+ouvNexprIxKw22fgYzmsC1cDD81yfDoYLy++I6bdZY3b7w5VBeuX3QiF6NBpyrQv2h0Hs+vHMWRoUq04cajMwtbACQeAmr5f35vK07k/88TY7eUHSvR4gSqjjmFFLcKGC/7rvEvsh4PuzsjaudEV1ByMmGw7/CT/Vg/f+URGDgOhiw5umWOhMK56rQ5Xt46zh0/AZWjby/g3hq7H0PG9WiMu1ruTFx40n+PR9XxEELIUzVJ598wsGDB/Hz82P8+PHMnz8/3/tNnTqVAwcO4Ofnh4+PDzNnzgTgww8/JCEhAV9fX+rUqcP27dupU6cOdevWpWbNmvTr14+goCAAkpKS6NKlC35+fjRt2pTvvvsOgBdffJFvvvmGunXrcu7cuaJ54aJEiEpI5ZVFBynvaMOPfesqS6ef+QumN4Jdk8E3WLmo4NP9zuiBN48pt0+4FKlQgVarrMrSeDQ4Vsx3alHV0jmcvZ7MqsNX1IlRiBKkOOYUGoPBUGJKo4GBgRw4cKDQnv9qYhrtvv+buhUcWDCkgXrTDe5eHs3MQlm7fOM4iDujrALy3EdQtc1TLWsqHiLxsjJi415vHst36dxb6Vk8/1Mot9KzWf96U9xKG1ExTAiR68SJE3h7m0BjaCOR3/Eq7POvGorja1JTSkY2wTP2cCUxjdWvBlHF8hZsGg8Ra5Qpn12+U3o1iOIhOUYZ4Xrv1KL2X7J19VwmM4DVY7tiKUvDimJGcoon86Q5hZS4C4jBYODD1cfI0Rv4skdtdQsb1yPuTI2Y00bpFeHuB70XwoidUK2tFDYKg87izhDZ2xwqQE5GvncvbWXOzJfrkZKRzehfD5GZrc/3fkIIIURxptcb+N+yI5yOSeKnF/2ocnYB/FQfTm+G5z6EV0KlsFHc3G5Mmmdq0WJIuk6rzJ0sTH+NvWtClL4dQgjxmKS4UUD+OHKVbSev8077GpQvY6NeIPktj/bHGOgwUWmEKUWNwpPfibr7dFg1Wulzks8JurqbHV/18uPgxQS+3HCiiAMWQggh1Ddl6xk2Hb/G90HZtNjxAmx+T+ltNfofaD5WWYJUFC93NybNnVpUCxoMRTNyB4kW7rQ4Op6cX/vAzSi1oxVCmAhZLaUAxKdkMmFtBP7lHRjUxEu9QAwGSI3Pf3m0nEx1YipJ8usgrrMCa3ulz8nVMOj87X1JWrc6ZQm7lMgvoReoW8GB7v7l1IlfCCGEKGLrw6OZt/UwSzzW0+jAH2DnDi/MV/pqyAWZ4u0BK/Jp3Gtzs99GPpv9MePPL8dsWkNo8wkEDpW+KkKIh5J3iGeg1xuITcrgSkIqk3rW5vs+/phpVToRp8bDsgEQdzb/qRE6C3XiKmnu7SBuZQ99l0Kzd+DwQpjbCW5dve9h73WqSX0vR8avOMrJa7dUCFwI8TAlqD3VM5HjJJ7EsahEti//ib9txtEocS2aRq/Aq/ug1vNS2Cjh6lVy5mL1QXTTTyarbH3Y8A780h6un1Q7NCGemZwrH8/THCcpbjwlvd7AqZgkekwPpetPoXy6LoL0rBz0aixddWEXzGwKpzZARrIsj2ZstGbQ+iOl58n1E/BzC7j4T567mJtpmdYvgFJWOkYtPMit9CyVghVC3MvKyoq4uDhJRh7BYDAQFxeHlZU0RxYPoNcrjSQTL5MVF4nZpnFM1v6ErWtlNCN2KFNore5fhlCUTP9rV4OTGWX43m0i9PhZaYw/synsmATZ+fczE8LYSU7xeJ42p5DVUp5SbFIGPaaHEpWQlrvN09GaVaODcLErormh2Zmw40vYPQWcqkDwbChbN+9qKToLpbAhw/iMw/UTsLSfMlWo41fKEMu7rk7tj4ynb8heWtV05eeX6qFVaySQECJXVlYWUVFRpKenqx2K0bOyssLT0xNzc/M824vjyiLF8TUVqtsNz2/3BXOogL7bT9yIjcG1frByIUCIe7yx9DB/Ho9h57iWuGqSlH4sR38Hl5rQ7Uco30DtEIV4IpJTPL6nySmk58ZTyszOyVPYAIhKSCMzO6doAog7ByuGwtXDEDAAOkwCC1vldw+YwyiMgKs3DN8OK4fn24ejvlcZ3u/kzafrIlh5OIoW1V3JzM7BQmeGk62FFDuEUIG5uTmVKlVSOwwhTFvK9fsanmv/GIPrsC1S2BAP9Fab6qwPj+anbWf5tLuvciGvdm9Y9xbMaQcNRiijYy3t1A5ViMciOUXhkuLGU7LQmeHpaH3fyA2Lwl6P22CAw4tg47tgZg69FyhNt4TpsHZQ+nBs/xJ2TVZGc/RZCKXLAjA4yIv4lAw87K1zRwd5Oloza0AgNdzspMAhhBCiyOj1BuJSMp++0J6TBUeWYHCujiafhueG7EzkrCYexMvZlt71y7Nk3yWGN6usrEhYvR28uhe2fgb7QuDkeqXo4VRZRi0LUcJJceMpOdlaMGtAIMMXHMjz4dPJthAbd6YlwNo3IGINeDVT5h/ay8oaJul2Hw6POrBqlNKHo/cCqNgYjUbDS4286DVzT27xLCohjeELDhTttCchhBAl2u3+YvfmOrcL7Tl6A3EpGdxIyiQ2OYMbSRncSM4gNimDhKRkfGLW0fnmEtwN18npvxKdQ4W8K7o5VCBbY475g0MQgtefq8aKg1F8v+U03/X2VzZa2kGnr6F2L9g7U1kVcHab3ClPvLhEWcFOChxClChS3HhKWq2GGm52rBodVDTTBiJ3w8oRSiOuNp9Ak9dlGGdx4NMNnKspfTjmd1GmF9UfRo5er+60JyGEECVeXEpmbmED7hTav+xRm7d+CyM+NZN7O7dZkEU/i52MM/sDN8MNzlvWZJ7HWFrY16d01/k4rR2Y+wE0rut8ciiNqwqvTZgOd3srBjbxYtau84xqUYXqbndNQSnfQClmzGmbZ8oTS/vCsC0yTVuIEkaKG89Aq9UU/lX0nCxl+sLu76FMZRj6J5SrV7j7FEXr7j4cG96B6DAsmn+pzrQnIYQoxi5fvsyAAQOIiYlBo9EwYsQI3njjDeLj4+nTpw+RkZF4eXmxbNkyHB0d1Q5XdQ/qL2ZvbU67Wu64lLLAxc4S51KWuFiD16XllDk8DW1SNJRrAC1/pnKV1lTWaIhNyuD9TdmMaPs7rjYarqcaCAm9xec95LwmHu2VFlVY/O8lvv3zFD+/HJj3lzlZeUcEgfLzzStw7ShUfk5GcAhRQkhxw5jFnYMVw+DqIaj7EnT4CixLqR2VKAz39OFwjjnBkn5zSEzNxsFCT2KmllJl3At32pMQQhRzOp2Ob7/9loCAAJKSkqhXrx5t27Zl3rx5tG7dmvHjxzNp0iQmTZrEV199pXa4RiG/QntZB2sm9qytbMhKg4Pz4c8pkBQNFRrD8zOgcss8q4E52VrwZtuaRTudVxQbjrYWDG9Wme+3nCbsciL+5R3u/FJnoYzeuGfKE8nXYUkf5eJg4FDw7wc2ZYo8diFE0ZEypjG63TR0ZjOIPwcvzIfu06SwUdzd7sPReyEac2s8sy9Te2NPys9vQO2NPfHMuoCWErNysxBCFDgPDw8CAgIAsLOzw9vbmytXrrBmzRoGDhwIwMCBA1m9erWKURoHg8FAyN/n+TrYD09Ha4C8BYnMVPhnGvxQBza9C2WqwMC1MHgjVGmVp7ABeafzhr7bilWjg6RJtngiQ5tVwsnWgsmbT+X9hY2L0mPDoYLy8+2eG1VaQvAcZWrKnx/Ad96w5lVlpUEhRLEkIzeMhV4PqbGQlQ43o+DgXChbF3r+DPaeakcnipJPN/DwQzO/a575o+bL+mMYugWNncwfFUKIZxUZGcnhw4dp2LAhMTExeHh4AODu7k5MTEy+jwkJCSEkJASA2NjYIotVDYv3XWL+PxdpV8uV7aN80ORkYDCzxMzSDO0/P8KeqZASC5WaQ69fwKvpI5+zSKbzimKrlKWO0a2q8tm6CPacvUGTqs7KL7RapXnosC33r5ZSu5fyde0o7J8D4cuUC4jl6kH9YVCrJ5hbqfvChBAFRoobxkCvh+sRd9Z/d6gAwb8oxQ0z+ScqkTRm+c4fTU1LxVaWchdCiGeSnJxMcHAwU6ZMoXTp0nl+p9Fo0GjyH00wYsQIRowYAUBgYGC+9ykOLsWl8sX6EwxuXIEmpa6jmXtXftJ9GpxYA26+0OJdqNhY7XBFCdK/YQXm7DrPV5tPsbqK053/q1rtw5uHuteGrlOg7QQ4shT2z4bVr8DmD5Sp34FDoEylInkNQojCI9NSjEFq7J3CBii3K4ZAWpy6cQn13J4/ejeHClyOTyNDVkwRQoinlpWVRXBwMP3796dnz54AuLm5ER0dDUB0dDSuriV3/Q693sA7y49gptHwXgtnNPfmJ2tehR4hMGC1FDZEkbMyN+ONNtU4cjmRvyLyH2H18Cewh4Yj4dV9yjSqSs2U6VVT68KiXnB6M+RkK6sTJl5WbvX6gn8hQohCIcUNY5ByI/8uz9mZ6sQj1JfP/FFDt59w3zWevzasUDc2IYQwUQaDgaFDh+Lt7c3bb7+du71bt27Mnz8fgDbcPoYAAF1nSURBVPnz59O9e3e1QlTd3D2R7LsQz8edq2ORmZB/fmImTUCFeoIDPKnsbMvkP0+Ro3/KXmQajTKlqvcCeOuYMgrp2lH4+2u49A/MbgNTfJXb6xFS4BDCRBh9cWPIkCG4urri6+ubuy0sLIxGjRrh7+9PYGAg+/btUzHCZ2AwwJZPIP58vlfp0UnyUGLdPX/0zWMwbAsah4qkxpynw6GRpP39k/L3I4QQ4rGFhoaycOFCtm3bhr+/P/7+/mzYsIHx48fz119/Ua1aNbZs2cL48ePVDlUVZ68n8/WmE4ytcJrgf19QVm2T/EQYGZ2ZlrfbVed0TDJ/HLny7E9Yuiy0ek8pcnT7CdaMzjtaaWlfZZS1EMLoGX1xY9CgQWzatCnPtnHjxvHxxx8TFhbGp59+yrhx41SK7hnkZMMfr8Hu7+HGmfy7PNu4qBujUNft+aMO5ZXbMl7cemkzW3MCsN72AawaqXSrF0II8ViaNm2KwWAgPDycsLAwwsLC6NSpE05OTmzdupUzZ86wZcsWypQpectFZufomb14Mct0H/Pq9U+UXgZWDpKfCKPUydcDH4/SfPfXaTKzC2hUhZk5WJTKf7RS8nVISyyY/QghCo3Rd6ts3rw5kZGRebZpNBpu3boFwM2bNylbtqwKkT2DrHRYMRROroPm46DpW8pV+Py6PAtxl5pe5ZjtO5mIY9N5M3wZmusnoM8icKyodmhCCCFM1fWTXP5tHJMSd5Ju5Qptp4J/f6WpuV4v+YkwOlqthrEdajB47n5+23+Jlxt7FcwT3+55dneBw6ECJETCvC7Q9E1oMAIsbAtmf0KIAmX0xY38TJkyhfbt2/POO++g1+vZs2eP2iE9vvSbsKQfXNwNHb9WmhqBMvfvYV2ehfjPW+1r0upoT0qVD2D49YkQ0lJZhq9KK7VDE0IIYUpuXYXtX2II+xVnvSV/OA+l28jPwcLmzn0etQqFECppWd2FBl5lmLrtLL3qlcfawuzZn/R2z7O7VzB8cYkyqqN8Q2U6+T/ToflYqDcQdLK0sRDGxCRL7zNmzOD777/n8uXLfP/99wwdOvSB9w0JCSEwMJDAwED116RPvg7zOsPlvRA8505hQ4gnUM7BmsFBXnx5tgJnn1+rJJ2LekLoVOnDIYQQ4tHSEmHLBJgagOHIUlZZdOF53XSaDZmUt7AhhBHTaJTRG7FJGczbE1kwT5pPzzNcfcClBvRfBkP+BOfqsHEs/FgPDi9SppoLIYyCSRY35s+fn7t82wsvvPDQhqIjRozgwIEDHDhwABcXFeeIxl+AOe2U5lx9f4PavdSLRZi80S2rYm9tzqf/ZCgnXu+u8NdHsHwIZKaoHZ4QQghjlJ3x37KX/rD7O/Duyuw6y3j75ou8FxyEo600ChWmpb5XGVrVcGHmznPcTMsqmCe9t+fZ3dOwKjSEQevg5VVg66wsjTy9ERxbKSuqCGEETLK4UbZsWXbu3AnAtm3bqFatmsoRPcK1Y/BLe0hPhAF/QLU2akckTJy9tTljWlXl79Ox7L6UDi/MhzafQMRqmN1WWYFHCCGEAOVD15Hf4MdA2Pw+ePjDyL8Ja/ANk/5N54V6nrTxkaknwjT9r10NbqZlMevvIsp9NBqo8hwM3w59fgWtDpYPhpDmcPpPGUUrhIqMvrjRt29fGjduzKlTp/D09GTOnDnMmjWL//3vf9SpU4f333+fkJAQtcN8sIt7YG4n5Y1v8CYoX1/tiEQx8XLjing6WjNx4wn0BpTGtP2Xw60rSh+OM1vUDlEIIYQa9HpIjoHEy3DjNKwaBatGgLWDcsV5wGrSnX3537Iw3Ows+airj9oRC/HUfMvZ82rLKtQpb8+l+BRikzLQ64ugwKDRgHcXeCUUeoRARhIsfkG5oBm5u/D3L4S4j9E3FF2yZEm+2w8ePFjEkTyFUxvh90FgX15JJhzKqx2RKEYsdWaMbV+DN5aG8ceRqzxftxxUbQ0jdsBvL8OvveC5D6HZ/5QTsBBCiOJPr4frEXkbInafDn69lavN/w2xn7z5FOdiU1g0tCGlrcxVDlqIp6fXG+hY24NRiw4SlZCGp6M1swYEUsPNDq22CPIfrRnU6QO+PeHwQtj5jdJjr3Ir6PAl2DjJakNCFBH531VYDv8KS/srTYiGbJbChigUXf3K4luuNN9sPkV6Vo6ysUwlGPon+AbDts9g2cuQkXznKl5yjMwLFUKI4irl+p3CBii3a0aDR+3cD1X/no9jTugFXm5UkabVnFUMVohnF5eSmVvYAIhKSGP4ggPEpWQWbSBm5hA4BF4/BO2+ADSQHAuz28AUX+X2eoTkYEIUIiluFIbQqUoiUakZDPwDbJ3UjkgUU1qthvc6enMlMY1Fey/e+YWFDQTPhvZfQlIMRIfJyVUIIYq7mONKMeN2YeO2xEvKlWMgJSObd5YfoUIZG8Z3rKlCkEIUrMzsnNzCxm1RCWlkZueoE5C5NTQZA89Pgz/G5C00Lu0LqSqv3ihEMSbFjYJkMMBf/6esWlGrB/RbBpZ2akclirmgqs60qO7Cj9vOcjP1rk7hGg00fhWenwGrX5GTqxBCFFf6HAj9Qem3lBqvTEW5m0MFZUg88OWGE0QlpDH5hTrYWhr97GQhHslCZ4ano3WebZ6O1lxNTL8zqlUN+pz8C43pSerEI0QJIMWNgpKTDWvGKMlF4FAIngM6S7WjEiXE+I41uZWexfQdZ+//pc7yoVfxhBBCmLCESJjXRbm4Uq0dlG8ALy65U+BwqKD8bOPCztOx/PrvJYY3q0x9rzKqhi1EQXGytWDWgMDcAoenozVTX6zLlxtOEDxjD5fjU9UJTGeRf6Ex9gRseg8yVYpLiGJMSvbPQq9Xrn5nZygfFm+chBbjoeV4aeAoipS3R2l61vVk7p5IBjTxopzDXVcwbp9c7y5wOFSQpcqEEMKUGQxK88JN74FGC8/PhDovKvmHlQMM25KnieHNjBzeXR5OVddSvN22utrRC1FgtFoNNdzsWDU6iMzsHCx0ZjjZWjDmuaq8+VsY3X7azY99A4q+v4yNi1JYvLu574uL4ew22DtdWXig+zTwCirauIQoxmTkxtO63Y18dhuYUlsZ9t/hK2jxrhQ2hCr+105JVr/981TeX9w+ud59Fa/7NFg9Go4uL+IohRBCPLPk67CkL/zxGpStqyxF6d/3Tv6h1UIpN6WZeSk30GqZsPY4sckZfNe7DlbmZurGL0QB02o1uNhZUs7RBhc7S7RaDa293fhjTFOcS1ky4Jd/+XnnOQxFeWFHq1UWFhi2Bd48pty61oKmb8DAdYAB5nWCDWOVxu9CiGcmxY2nlRp7fzfy5YOlj4FQTVkHawYHebHq8BWOX7155xf5nVydq4M+C1YMVZJjGRophBCm4cRamN4Izm2D9hNhwB/3D32/x5/Hr7Hy0BVebVkFP0+HoolTCCNQydmW1a8G0cHXnYkbTzJmyWFSMrKLLoB8Co1KYM3glT3Q8BXYNwtmNIbzO4ouLiGKKSluPK3sTOljIIzO6JZVsbc2Z9LGk3l/ce/J1c4dBq2HZv+DQwthdmu4fjL/JxVCCKG+9Juw6hX47SWw94SRf0Pj0Xc+LD1AfEom7686io9HacY8V62IghXCeNha6pjWL4DxHWuy8Wg0PafvIfJGitphgYUtdJwEgzeC1hwWdIe1b0L6LbUjE8JkSXHjaT2oSdB/3ciFUIO9tTljWlVl15kb7DrziFFEZjpo/X/w0gpliPOsVnD4V+nFIYQQxubC3zAjCMJ/g+bjYOgWcH30Mq4Gg4EPVx/lZloW3/Wpg4VO0j5RMmk0Gka1qML8IQ2ISUqn20+72X7yutphKSo2hlG7ofEYODQfpjeGs1vUjkoIkyRnuaeVXx+D/7qRC6GmlxtXxNPRmokbTqLXP0ahomprZb52uXqwZjSsGiVzP4UQwhhkpcGm92F+VzCzgKF/wnMfPPJCil5vIDYpg7PXk+nuX46JPWtT0710EQUthPFqVs2FtWOa4ulow5D5+5m69czj5UqFzcIG2n8BQ/5Uvl8UDGtehbREtSMTwqRIceNp5dskyOeRw0OFKGyWOjPGtq9BRPQt1hy58ngPsnOHAWug5ftwdBmEtIRrRws1TiGEEA9xNUx5L947DeoPh1G7wDPwkQ/T6w2cikmix/RQ2n7/N5+ti6CWh71xfIATwgiUL2PDilea8Lx/Ob776zQjFx3kVnqW2mEpyteHkbug6VsQtlgZxXF6s9pRCWEy5JP4s3hQkyAhVNbVryy+5UozefNp0rNyHu9BWjNo+a7SnC4jCWa1hv1zZJqKEEIUAX1ODlk3r5Edf5GcqEMYNoxT+my8tBI6T1bm598jR28gPiWTc7HJHLwYz18RMZyKSWL4ggNEJaQBEJWQxvCFB4hLkZ5gQtxmbWHGd73r8HFXH7advM7z00I5ez1J7bAU5lbQ5hMYthWsHWBxb1g5UhnFkRwDiZeVW71e5UCFMD46tQMQQhQ8rVbDex296T/7Xxb+c5HhzSs//oMrNVPmfq4eBevfVuZ6d5sKVvaFF7AQQpRg+pwc9DERmC/rpzQnd6iAvkcI/6a6s/9iNgknIkhMzSQhNZOE1Kz/vs/iVnrWffXn30Y0yi1s3BaVkEZm9mMWuoUoITQaDYODKuHtUZoxiw/R/adQvu3tTwdfd7VDU5QLgBE74O9v4PxOuBauTFX57z2CF5fIqHEh7iHFDSGKqaCqzrSo7sJP28/SO7A89jbmj//gUi7Q73fYMxW2fgrRYdBrrnKiFUIIUaBykmPvFDYAEi+hXTWCGv028uL8CGwtzHCwscDR1hxHGwvKl7HB0cZc2WajbHO0Vb4vY2uBp6N1ngKHp6M1FjozlV6dEMatUWUn1r7WlFGLDjFq0UE+6+5De18PsrL1WOjMcLK1QKvVqBOczhKe+xD8+8OCbnneI1jaV5kWX8pNndiEMEJS3BCiGBvfsSadpu5i+o6zvNfJ+8kerNVC0zehQmNYPgTmtIN2n0GDEZB6Q1n2WGehNNGVqwZCCPHUNDkZ+S4vb6fTc+rzDlg+QWFCrzcwa0Bg7tQUT0drZg0IxMlWVnMT4kE87K35bUQjZv99nsoudvScvifP/58abnbqFTgAtLp83yPIlulmQtxNPpEIUYx5e5SmZ11PDl1K4EpCKlcSUolNyniyxnIVGiqN7Kq1hWPL4fK/MLsNTPFVbq9HyLxPIYRJGDJkCK6urvj6+uZuCwsLo1GjRvj7+xMYGMi+ffuKPC6DmWW+y8sbzCyeqLAByrTEGm52rBodROi7rVg1Okj9D2ZCmAArczP6NCjPuyvC8/asWWAEPWt0Fvm+RxB/Hm6cVScmIYyQFDeEKObe7VCDN9tUp0/IXoK+2k6P6aGcikl6sgKHTRl4cTF0/h5Wjbx/WGRqbOEEL4QQBWjQoEFs2rQpz7Zx48bx8ccfExYWxqeffsq4ceOKPC6zUi5k916cZ3n57N6LMSv1dMvLa7UaXOwsKedog4udpRQ2hHhMmdl64+xZY+Oi9Ni46z2CXnPh729hRhPY+bWM4hACmZYiRLGn0WjyvQqxanQQLnaWT/JEYO0owyKFECarefPmREZG5tmm0Wi4desWADdv3qRs2bJFHpfWzAzcfMga/BeanEwMZhaYlXJRtgshioyFzizfnjUZ2SqPUNVqleahw7bknRYcPAs2jYftX8DR5dD1B6jYWN1YhVCRjNwQopjLzM4puKsQDxoWqZO53EII0zRlyhTGjh1L+fLleeedd5g4caIqcWjNzDC3d0dXpgLm9u5S2BBCBU62FswaEIinozWgFDYmv1CHd5eHs+lYtLrBabVK81CH8sqtVgt2bvDCXKUJfFYazO0Aa9+AtAR1YxVCJVLcEKKYu30V4m5P3Tk/v2GR3X6CqAMFEKkQQhS9GTNm8P3333P58mW+//57hg4d+sD7hoSEEBgYSGBgILGxMh1PiOImv5413h525BgMjP71EEv2XXr0k6ihejt4dS80HgOHFsBPDeDYCu5bK1qIYk5jMJScv/rAwEAOHJAPYaJk0esNnIpJyts5/+VAarg/ZYM5vV7psZGdqXTv3j0F9s2E1h9D07eU6StCCHEXYzr/RkZG0qVLF44dOwaAvb09iYmJaDQaDAYD9vb2udNUHsaYXpMQonClZmYz+tdD7DgVy9j2NRjdsgoaY813roYpozeiw6BaO+j87f2jboUwYQ87/8rIDSGKubuvQmx5uzkfdfEhMj7l6RvM3T0ssrSHsjxs7Rdg6wTY/L6snCKEMClly5Zl586dAGzbto1q1aqpHJEQwtjYWOiYNSCQ7v5l+WbzKT5ff+LJGrMXpbL+MGwrtJ8IkaEwrSHs+RFystWOTIhCJw1FhSgBbnfOdy5lwfsrj3H+RjJNqzpjZ2X+7E+us4AeIWDjDHunQ8oN6D5N+nAIIYxO37592bFjBzdu3MDT05MJEyYwa9Ys3njjDbKzs7GysiIkJETtMIUQRsjcTMv3vf1xtLFgzu4LJKRk8lUvP8zNjPBasZkOGo8G766w4R3480MIXwbdpkLZumpHJ0ShkeKGECWIRqPhg87edJ8Wysyd5xjbvmbBPLFWCx0mQikX2PoppMVD7wVgYVswzy+EEAVgyZIl+W4/ePBgEUcihDBFWq2Gj7v64GRrwbd/nSYxLYtp/QKwtjDSBsAO5aHvUohYAxvHwaznoOEoaPUhZCXnXXlFa4RFGiGekPwVC1HC1CnvQHf/sszedYGriWmPfsDj0mig2f+g61Q4tw3md4PU+IJ7fiGEEEIIlWk0Gl5rXY3Pn/dl+6nrvDznX26mZakd1oNpNFDreXh1H9QbBFH74OohmN0Gpvgqt9cjZFqxKBakuCFECTS2fQ0MwOTNpwr+yesNhN4L4dpR+KUD3Iwq+H0IIYQQQqjopUYV+alvAEeiEunz8z9cv5WudkgPZ+0AXb5XphKvGQ2J/638kngJlvZVmsULYeKMvrgxZMgQXF1d8fX1zbP9xx9/pGbNmtSqVYtx48apFJ0QpsnT0YYhQZVYefgKx67cLPgdeHeBl1dCUjTMaQexhVBEEUIIIYRQUWc/D+YOasCl+FSCZ+4h8kaK2iE9mpnFncLGbYmXINMEYhfiEYy+uDFo0CA2bdqUZ9v27dtZs2YNR44c4fjx47zzzjsqRSeE6RrdqgplbC34fH0EhbIitFdTGLQecrLgl/YQJUsmCiGEEKJ4aVrNmSXDG5Gcnk2vmf9w/GohXDQqSDqL+5eGdagAMRGw6hWIP69OXEIUgCItbly7do0//viDtWvXcu3atcd6TPPmzSlTpkyebTNmzGD8+PFYWloC4OrqWuCxClHclbYy58021dh7Pp6tJ64Xzk48/GDo/7d353FR1t3/x18z7CiyCYjgviu44l6WuZTprWllkqWGii22b3bffX931l2a7ZsV5lYZZpZZVmaaVlqm5JaZuKJiiqCgKMg28/vjCpccd5hrBt7Px2MeE5fMXIcJnc+c63POWQS+QTDzX7B1cfmcR0QqnUtZU4iIlIdWtYL45M4ueHtYGPLuSlbuOGh2SGfnHwZDkk8mOIJqwy2zjN0bf3wGb8TB5/fAoZ3mxilyCZyW3Hjvvffo0KEDn332GXPnzqVTp05Mmzbtkp5ry5Yt/PTTT3Ts2JGrrrqK1atXl3G0IpVDfIfa1A+rwnPf/ElRSTk1kgqpZyQ4QhtA8i3GKDIRkctQlmsKEZGy0DC8KnPv6kJEoC/Dpq1i0R8umnS1WiG8OYxaDA9sNO4jYozRsfevhw6J8Psn8GYczB8L2bvMjljkgjltFOwLL7zA2rVrCQ0NBeDgwYN06dKFhISEi36u4uJiDh06xMqVK1m9ejWDBw9mx44dWCyWM743KSnpxMz6zEw1yhE5lZeHlSf6NGP0+ynMXrWb2zvXLZ8TVQ03SlRmD4XPRkPeQeh0V/mcS0QqvLJcU4iIlJWaQX58MqYzI2as5s4Pf+Pd29vRulYwhcUleHt6EFrFG6v1zM8rTme1QtWIM48H1IA+E6Hr/bD8FfhtBqxPhtZDodsjZ5aziLgYp+3cCA0NJSAg4MTXAQEBJxYlFys6OppBgwZhsVjo0KEDVquVrKwsh9+bmJhISkoKKSkphIWFXdL5RCqyns3C6VQ/hFcWb+XI8XIcZeYbCEPnQrN/wcJxsOo9OJoBOXuMe40gE5ELVJZrChGRshRcxZuPRnXk9k518Pf2ZODkFXR9fikDJ68gNSMXm60c+pyVtWqRcP0kuH8dtLvDSHC83ha+fMBYt4m4KKclNxo2bEjHjh156qmnGD9+PJ06daJx48a8/PLLvPzyyxf1XDfccANLly4FjBKVwsJCqlevXh5hi1R4FouFJ/s259CxQt5etr18T+blCzfPhB7/heqNNGNdxFXYbG6VbCzLNYWISFmr4uPJ3d0b8vinG0jPzgcgPTuf0e+ncPBYocnRXYRqNaHvi3DfWmg7DNZ+CK+3gQUPweG9ZkcncganlaU0aNCABg0anPh6wIABAOTm5p7zcfHx8SxbtoysrCyio6MZP348CQkJJCQkEBMTg7e3NzNnznRYkiIiFyYmKpBBbaKYunwnQzvWJjrYv/xOZvWANkONhMY/Z6yPWux4m6SIlB+bzUguzo43/i4G1TaazYU3N7Yuu6BLXVOIiDhLcYntRGKjVHp2PoXFJSZFdBkCo6Hfy3DFg7D8ZVjzPqz9ANoOh6seA+xQXGhMYvEPc9n3Dqn4nJbc+O9//3tJj0tOTnZ4/MMPP7yccETkHx65tglf/b6PF75N5bUhbcr3ZMWFjmesF7vR1QyRiiIv82RiA9wi2XipawoREWfx9vQgOtjvtARHdLAf3p4eJkZ1mYJqQb9XjCTHTy/Bvg1w4E/4YqzbJMelYnPab11KSgoDBw6kbdu2tGzZ8sRNRFxDzSA/Rl1Zj/nr/mL9npzyPdnZZqyXKLkh4nTFBW6XbNSaQkRcXWgVb6YMiyM62A8wEhvP39iSfYfzz/NINxBUG/71Gtz03snEBpxMjudpiEOlZmKpq9N2bgwdOpQXXniB2NhYrMrkibiku65uyMer9/DsV3/y8ZhO5VfuVTpj/dRt8AMmG3PV40ZAqyHlc14ROV1xobH4CKp9eoIjqLaRhHRRWlOIiKuzWi00iQhg3t1dKSwuwcNq4ZkFm1i+7SCf3d2FBmFVzQ6xDFgcJ8dz9kB6CjS+zihHlsrD5FJXpyU3wsLC6N+/v7NOJyKXoKqPJw/0bMyTn29k0aYMrm1Ro3xOdOqM9dIaTQ8f8PCEeWMg4w/o+ZTeEEXKU3EBfHIHHMuAm6bB3ITTFyL+rjthTGsKEXEHVquFsACfE18/fl0zVk5ewR3TVzPv7i6EVvU5x6PdQOlO3H8mx/MOwexbIbgudBgDbW4D32qmhSlOZHKpq8VutztlHtGSJUtITk6mR48e+Pic/Is8aNAgZ5wegLi4OFJSUpx2PhF3VFxi47rXfqLEZufbB7rh7enEq6IlRfDN45AyFRpdCze+pzdDkfJQdBzmDIOt38L1L0LcSGNBUk4N4cr6/VdrChFxV2t3ZzMkaSXNa1YjeXQnfL3c+ELO2a7SV28CW76GlW/D7l/AO8BIcHRMhJD6Zkct5SlnjzEJ8Z8e2Gj0bCkD53r/ddrOjenTp7N582aKiopObCG1WCxOXYiIyPl5elj59/VNSZiRwke/7mJE13rOO7mHl9GNO6K5keR4ryfEJ0Nog/M/VkQuTFE+zB4K25dAv1ch7g7juIs2D3VEawoRcVdtagfz6i2tufujNTw0Zx1vxrfFanXTqY+OduKWJsebDzBue9fAr+/A6inGfZProdNdUPcK0LTLiuWvtZCfY2qpq9OSG6tXryY1NdVZpxORy9C9SThdG4by2pKtDGwbTaCfl3MDaD8Kqjc2rixPuQYGz4T6Vzs3BpGKqDDPuMK24wfo/ya0vd3siC6J1hQi4s76xEbyRJ+mPPf1Zp4P2cwTfZqZHdKls1rPnRyPaguDkqDneGNnbso0SP0KImKMJEfMTeDl67x4pezl58D3/zP+/9bvATfPgE9GmFLq6rT95l26dGHTpk3OOp2IXAaLxcK/r29GTn4Rk5duMyeIet1g9FIIiIQPBsGvSeCcKjqRiqnwGHw0GHb+CDe87baJDdCaQkTc3+gr6zO0Y23e/WEHH/26+/wPcHfVIuGaJ+HBP6D/G2C3wfx74JUWsPQ5yM0wdcqGXAK7HdZ/DG/GGYmN9qPh5qkQ2cbYzfPARuPeiaOBnbZzY+XKlbRu3Zp69erh4+OD3W7HYrGwYcMGZ4UgIhehRc1AbmwbzfQVadzWqQ61QvydH0RIPRi5CD5LhG8ehQN/QJ8XXHqKg4hLKsiFWYNhz0oYmAQtbzY7osuiNYWIuDuLxcL4/i3Ym5PP/83fSM0gX65uEm52WOXPyw/aDoM2txvJ9pVvww+TYPsP0Hs8fDbalCkbcpEO/AlfPQK7lkNUOxg6F2q2PvnnJpW6Oi25sXDhQmedSkTKyCO9m7Bgw19M+jaVN+LbmBOEbzUY8hF8/wwsfxmytsLg96FKdXPiEXE3x4/ArJuMsXw3ToUY9+9LoTWFiFQEnh5W3ry1LYPf+YWxH63lkzs70yyykjRSt1ig/lXG7eB2yDsIn448c8rGsC8hMMroyybmKzgKP06CX94C76rwr9egzTCXSUA5LYo6deqwZ88evv/+e+rUqYO/vz82bTUScWk1An1JvLI+X67/i7W7s80LxGqFnv+FQe/B3t9gSnfYv9G8eETcRX4OfHCD8ffm5ukVIrEBWlOISMVR1ceTaSPaU9XHk4QZq8k4ctzskJwvtIFRhpzzj/KcnN1wJB2ei4Kkq+GL+2D1e7BntdFDSpzHbodNX8BbHWHFa9BqCNz7G7Qb4TKJDXBicmP8+PE8//zzTJgwAYCioiJuu+02Z51eRC7RmKsaUL2qD89+9SdOmhx9di1vhju+NjpyT+0Nfy4wNx4RV5Z3CN4fAPs2GLudmg8wO6IyozWFiFQkNQJ9mTaiPUfyi0iYsZpjBcVmh+R8nt5GKcqpgmqDXwh0GA0+AbBpPnz1MEztCROi4M0O8OkoWPE67FhmvO+VUv+OsnNoB8y6GebcDn5BkLAIBrzlkruonVaWMm/ePNauXUvbtm0BqFmzJrm5uc46vYhcoio+njzcuzFPfPY7Czfup09spLkBRbWDxGUw+1b4eCh0fxK6PaJxYiKnOnYQPhgAmakwZBY0vtbsiMqU1hQiUtE0r1mNN4e2ZdTMFO5NXkvS7e3w9HCdK+Llzj/M6LExO/70nhthTeHaZ43vsdvh8B4jab9/g3G/62f4/ZOTzxNYG1oMhGb9Tpa5qH/HpSk6DitehZ9eNsqCrp0AHRLBw2kphIvmtMi8vb2xWCxY/v4AcuzYMWedWkQu0+C4WsxYkcbEhZvp0SwCb0+T3xiqRRo7OL64F5b+z/jHt8MosBWfPmNdpDI6mmns2Di0HeKToWFPsyMqc5e6pkhISGDBggWEh4ezcePJ0rY33niDt956Cw8PD/r27cukSZPKJW4RkXPp3iSc8f1b8OTnGxn/5SaeHtDixL9zFZ7VaiQfRi02dug6Ws9ZLEaiIqi2kbwodSzrZLJj/wZj4p6j/h23z4Ogui794dw0NhvkZZ587bPT4LMxkL0TYm6E3s8a628X57T/s4MHD2bMmDHk5OQwZcoUpk2bxujRo511ehG5DB5WC09c35QR01fzwcpdjLyintkhGd22B02BBtdAtSiY1lvZeZHcDHi/P2Tvgls/hvpXmx1RubjUNcWIESMYO3Ysw4YNO3Fs6dKlzJ8/n/Xr1+Pj48OBAwfKM3QRkXO6rVMddh/KI+nHHdQJ9WfUlfXNDsl5rNZLm7JRpbqxHmxwjfF1zh7H/Tty98OUHtCwBzTqbST/XbC0wulsNjiw6fRdM/3fhMhW0O8VaNDd7AgvmNOSG5mZmdx0001Uq1aN1NRUnn76aRYvXuys04vIZbq6SThXNqrO0s0ZXB9bA5vNjrenB6FVvLFaTbqqYLEYb1Dv9TwzOz9qsWljqERMcWQfzPwXHPkLhn4C9a40O6Jyc6lrim7dupGWlnbasbfffptx48bh4+MDQHh4JRjFKCIubdx1TdlzKI9nv/6T6GB/roupYXZI7qW0f8epCY6g2uAfCk37wtbvYOOngMUod258LTTqBTVaVb4LY/k5kJd1MrEBxv0XY2HkdxDgXr97FruTOgS2bduWNWvWnHasZcuWTp1JHxcXR0pKitPOJ1LR7Mw6yl85x3n80w2kZ+cTHezHlGFxNIkIMC/BkbMHXo058/gDGyGolvPjEXGWU7eQAnz7H9i+xEhs1Olibmz/UNbvv5ezpkhLS6Nfv34nylJat27NgAEDWLhwIb6+vrz44ou0b9/e4WOTkpJISkoCjATLrl27LvMnERFx7HhRCUOSVrJ5/xFmJ3amda0gs0NyH452Ipy6q9dmg33rjCTH1m9h7xrAblwUa9jLSHQ06A6+gSef79SSDXcsf7bb4XA67P/979sG4z5nF4z4Cmb0PfMxLrqWPteaotx3brz99ttMnjyZHTt20LJlyxPHc3Nz6dq1a3mfXkTKUFUfLx7/dBXp2fkApGfnM/r9FObd3ZWwAB9zgjpbdv7wHvALBp+q5sQlUp4cbiF9C7o9CpGxZkdXbspjTVFcXMyhQ4dYuXIlq1evZvDgwezYscNhnXtiYiKJiYmAsbgSESkvvl4evDc8joGTVzBq5mrm3d2VWiH+ZoflHs7Xv8Nqhai2xu3qx41eVdsWw9ZFsPlLWPchWD2hdmdoMxTCmsOc28qm/LksEyVne66SIsjacmYiIz/77wdajPG7UW2h3XCoEu54Le3pfWlxmajckxu33norffr04YknnmDixIknjgcEBBASElLepxeRMlRYXHIisVEqPTufwuISkyLCcXftG6fBt0/A8SNwy4cQ1ti8+ETKQ16mgy2k9xgLuQqsPNYU0dHRDBo0CIvFQocOHbBarWRlZREWFlZWYYuIXJLqVX2YPqI9gyb/zPMLN/Nk32aUuEJZsDu4mP4dVcOgdbxxKymG9FVGomPLIvCuejKxASfLn29+H3YtN3rAeVUx7r3/vvfy//t2yjFPP+Px59pR8k92u9Esv/RWUgS2EuO/AY4dgI9PSboMmgIpM+CPz6CkwPgeT1/j+Zv1hxqxUKMlRLQ4/eKfzeZ4Uo2/+70PlntyIzAwkMDAQJKTk8v7VCJSzrw9PYgO9jstwREd7Ie3p4d5QZ0tO3/N/8HcBJjS3ZjF3eIG82IUKWvFhY6bpZWWqFRQ5bGmuOGGG1i6dCndu3dny5YtFBYWUr26GsyJiGtoGB7AByM7crSgmJve+cV1yoIrKg9Po7SzThfo+RQc2un4/bboGCx68uKee8hHsHDcmYmS61+Az+/+O4lR8ncSoxjs57h4eMuH8O2/T3+uz0Yba96q1Y0kRo1YCG10/ukwFzKpxk1oDo6IXLDQKt5MGRbH6PdTTry5Th7altAqJm9bc5Sdr38VjPkRPhlu3NLHGm9SHl6mhChSpgqOVJgtpM4UHx/PsmXLyMrKIjo6mvHjx5OQkEBCQgIxMTF4e3szc+bMyjN6UUTcQs0gPwZOXuFaZcGVhbe/4/fb0IYwbg8U5UNR3t+3fCg89vexv+8L807+eWAtx4mSqjWgxUCjFMbqCVYPsHqd/rXHqV97Gud39FzB9aD3/y7+57zUSTUuRskNEblgVquFJhEBzLu7KwXFJWw7cJRXvtvCS4NbE2J2gsORwCgY8TUs+g/88qbRMOrm6W7X+VnkBJsNvn8a0n6CG96Bz+90+y2kznS2HR8ffvihkyMREblwZysLPpxfSJC/F14e7neF3W04Kn8ekmz0qbBawbfahT/X0QzHiZJqkdD3pYuL62zPVckvcuhvgohcFKvVQliAD9HB/oQF+LBi20Eem7sBJw1eunie3sZ2v0FTjM7Y73aDXT+bHZXIxSs4CnNuh+WvQEQsRLc3tpA+sNG4v9TmZiIi4tJKy4JPFR3sx/bMY3R6bglPffEH6/fkuO5azJ2dWrJxue+3pYmSoNrG15dzYaIsn6sC0c4NEblkLWoG8nifpjyzYBMf/rqb2zvVMTuks2s52Gig9PHtMKMf9H4GOt0N2n4u7iBnDyTHw4E/oM8k6JBo/O5WgC2kIiJybo7KgqfcHseR40V0qh/KR6t2M+PnNOqHVWFQmyhuaBNFdLAmq5SZsirZKMveFhWoT0ZZUnJDRC7LHV3q8uOWTP63YBMd64XQOCLA7JDOLqIFJC41mjZ9+29IXw393wAfF45ZZM9qmH0rFB+HWz+BRj3NjkhERJzo1LLgwuKS06aldKwfyuH8Ir75fR+frdnLi4u28OKiLXSoF8KgNlFc3zKSar7qN+YyyrK3RQXpk1GWKndqR0Qum9Vq4cWbWxHg68l9yWs5XmTiWNgL4RtodJjuOR42zYcp10BmqtlRiTi24ROY0ddoaDbyOyU2REQqqdKy4Ki/y4JPnZIS6OfFkA61mXNnZ356rDsP92pMVm4B4z77nfb/W8w9H61hyZ8ZFJXYALDZ7GTmFrA3O4/M3AJsNpWzSMWg5IaIXLawAB9euKkVm/fnMvGbzWaHc34WC1zxAAybD/nZRoJj42dmRyVyks0G3/8PPhsF0XEw6nsIb2p2VCIi4uJqhfhzb49GLHn4Kj6/pytD2tfi521ZjJyZQqfnljDlx+388dcRBk5eQdfnlzJw8gpSM3KV4JAKweWTGwkJCYSHhxMTE3PGn7300ktYLBaysrJMiExETtW9aTh3dK3LjJ/T+H5zhtnhXJh63YxxseHNYe4dsPAJY7a4iJkKjxnji398AdrcBrd/DlVCzY5KRETciMVioXWtIMYPiOHXf/dkyrA4OtYPoU5oFe6a9dsZY2UPHis0OWKRy+fyyY0RI0awcOHCM47v2bOHRYsWUbt2bROiEhFHHr+uKc0iq/HoJxs4kHvc7HAuTLWaMOIr6DAGVk6Grx6Bw+lGA8ejGcYVdBFnObwXpveBP7+E3s9C/zcr/Vg3ERG5PN6eVno1j2Dy0HY0i6zmcKxsYbGLlxWLXACXT25069aNkJCQM44/+OCDTJo0CYsmHYi4DF8vD14f0ppjhcU8PGe9+2xx9PSG6yfBbZ9CzCDjw+WrMfBeTziwSQkOcY69vxklUge3w60fQ5exmuYjIiJlytfL8VjZ3IJijZIVt+fyyQ1H5s+fT1RUFK1atTI7FBH5h0YRAfxfv+b8tDWLaSt2mh3OxakRC1+MhZzdxtc5u2F2PORlmhuXVHwbP4Pp1xuJtpHfQeNrzY5IREQqoNKxsqUJjuhgP14a3IonPv2dBz5eR+5xleeK+3K7UbB5eXk899xzLFq06IK+PykpiaSkJAAyM/UBRcQZbu1Qmx9SM3l+4WY61Q8lJirQ7JAuTHHhycRGqZzdcPyIRm1J+bDb4YfnYdkEqNXJmORTNczsqEREpIJyNFY22M+L7k3DeXXxFtbuzuH1+Da0rhVkdqgiF83tdm5s376dnTt30qpVK+rWrUt6ejpt27Zl//79Dr8/MTGRlJQUUlJSCAvTglHEGSwWC8/f2JKQKt7cN3steYXFZod0YTy9IegffXyCakPmZvjqYSPJIXI5bDajl0vOHsjdB0v+ZyQ2WsXD8C+U2BARkXL3z7Gynp5W7uvRiDljOlNis3PT2z/zzg/b3ae8WORvbpfciI2N5cCBA6SlpZGWlkZ0dDRr1qyhRo0aZocmIqcIruLNK4NbszPrGM8s2GR2OBfGPwyGJJ9McATVhiEfGbs3Vk+FyZ1h63fmxijuy2Yzeri819Po6TK1N9TvBje8Aze8DZ4+ZkcoIiKVWFzdEL6+70p6NY9g4jebGT59lfs0iBfBDZIb8fHxdO7cmdTUVKKjo5k6darZIYnIBerSsDp3XtWA5FV7+Ob3fWaHc35WqzEWdtRieGCjcR/eAjrfAyMXgU9VmHUTfJYIxw6aHa24m7xMo4fLqT1dvhgLDa9R41AREXEJgf5eTB7algmDYlmddog+r/7E0tQDZoclckFcvudGcnLyOf88LS3NOYGIyCV5qFdjft6WxbjPfqdVrSBqBvmd/0Fmslod99eo1QHG/Ag/vWTcti0xJqy0GKQPpnJhigsc93QpLjQnHhEREQcsFgvxHWoTVyeYsR+t5Y7pqxl1RT0eu64p3p4uf21cKjH9dopIufLysPLakDYUldh48ON1lLhz/aanD3T/NyT+AEG1YG4CzL4VjvxldmTi6nb9DJmpjnu6eHqbE5OIiMg5NIoIYP7YrtzeqQ7vLd/JjW//zM6sY2aHJXJWSm6ISLmrW70KTw+I4dedh3jnh+1mh3P5asTAyMXQ6xnY/j281RF+m2FMvhA5VcFR+PoxY8xrynS4+f1/9HRJNnq9iIiIuCBfLw+euSGGd29vx+5DefR9/Sc+/S3d7LBEHHL5shQRqRhubBvFD1syefm7LXRpEEqb2sFmh3R5PDyh633QtC98eb9x+30u9H8dQuqbHZ24gh3L4It7jdKTDmOgx/8DL3+jl0txobFjwz/MKIUSERFxYde2qEFsVCAPfLyOhz9Zz/JtWTxzQwxVffRxUlyHVlQi4hQWi4X/3RBDjWq+3D97HbnHi8wOqWyENoBhX0C/V2HfepjcBX5+A2wlZkcmZjl+2Eh2vT8ArF5wxzdGfxafqid7ugTVMu6V2BARETdRM8iP5NGdeLBnY+av20vf139iS8YRMnML2JudR2ZugcbHiqm0qhIRpwn08+K1Ia1Jz87jv/P/MDucsmO1QtwdcPdKqH8VLHrSGPd5cBsczYCcPca9zWZ2pFLetn5njAxe8z50uRfuXA51upgdlYiISJnwsFq4v2cjPh7TmUZhVcjMLWTg5BV0fX4pAyevIDUjVwkOMY2SGyLiVHF1Q7ivRyN2Zh0jdX9uxcr0B0ZB/Gy4cSr4BcHhvUaS49UY4/7AJiU4Kqq8QzDvTmNUsE8AjPwOev8PvP3NjkxERKTMta8bwjMDY3n80w2kZ+cDkJ6dz+j3Uzh4TFPAxBwqkhIRp7vn6gZ0rh/KyJmrSc/OJzrYjynD4mgSEYDV6uZjVS0WiL0JaneG6dedHP2Zsxtmxxv9FhyNmhX39ecC+OohOJYFVz4CVz1mTNYRERGpwGw2+4nERqn07HwKi1WaK+bQzg0Rcbqc/GIe/mR9xc70220nExulcnZDUb7j7xf3cywLPrkDPh4KVcIhcSn0+D8lNkREpFLw9vQgOtjvtGPRwX54e3qYFJFUdkpuiIjTFRaXVPxMv6f3yZGfpYJqQ8YmWPk2lBSbE5dcPrsdNn4Kb3WAP7+E7v8xEhuRrcyOTM4jISGB8PBwYmJizvizl156CYvFQlZWlgmRiYi4n9Aq3kwZFnciwREd7Mcb8W0IreJtcmRSWSm5ISJOVyky/f5hMCT5ZIIjqDbc8qExHnThOEi6Cnb9YmqIcoFstpONYQ+nw3f/hbkJEFQHxvxolKF4eJkdpVyAESNGsHDhwjOO79mzh0WLFlG7dm0HjxIREUesVgtNIgKYd3dXVjzenYk3tuTNJVspLFF/MTGHkhsi4nSOMv0v3tyKQL8K1AbIaoXw5kaPjQc2GvcRsdDneRj8AeTnGD055t0FRw+YHa2cjc1mNIItbQw7vQ807AE3vGM0DY1obnaEchG6detGSEjIGccffPBBJk2ahMXi5j1/RESczGq1EBbgQ1SwP1ZgSWomyat2n/dxIuWhAn2SEBF3cWqmv7C4hLzCEh6bu4EezcIZe00js8MrO1ar4+ahzfsbH5B/fBF+fgM2fwXXPAlxCeChf5ZdyrFMoxHsqY1hvxhrJKv0/6pCmD9/PlFRUbRqpbIiEZHL0aVhdTrVD+GtpdsZ0r42ft4VaEeuXDCbzc7BY4UUFpfg7elBaBVvpw0M0M4NETHFqZn+RhEB1Az247UlW0ndn2t2aM7hXQV6/hfu/gWi2sI3j8KUq2H3r2ZHJmD0RNkwB3J2OW4MW1yBmt9WYnl5eTz33HM8/fTTF/T9SUlJxMXFERcXR2ZmZjlHJyLifh7q1YSsowV8uHKX2aGICWw2O6kZuQycvIKuzy9l4OQVpGbkYrPZnXJ+JTdExCU83b8F1Xy9eOST9RRVplrN6o3g9nlw80zIOwTTesPn98BRfXAyRdFxSJkGb7SFz0ZDwRHHjWE91SytIti+fTs7d+6kVatW1K1bl/T0dNq2bcv+/fsdfn9iYiIpKSmkpKQQFhbm5GhFRFxfh3ohXNmoOm//sJ1jBWqeXtkcPFbI6PdTTJuIqOSGiLiE0Ko+PHNDDL/vPUzSjzvMDse5LBZocQPcswq6PgAbZsOb7WDVFLBVoAkyrqwgF1a8Dq+1hAUPQpXqMOQjqHf1mY1hhyQbDWPF7cXGxnLgwAHS0tJIS0sjOjqaNWvWUKNGDbNDExFxWw/2asyhY4XM+DnN7FDEycyeiKjkhoi4jOtjI+nbMpJXF2+pPOUpp/KpCr3Gw10/G2NFv34Ekq6GPatPn9hxNMP4Wi5f3iFY+hy8EgPf/R+ENYFh82HUEmja1+ir8c/GsOHNjX4q4nbi4+Pp3LkzqampREdHM3XqVLNDEhGpcNrWDqZ7kzCSftxB7vEis8MRJzJ7IqJWZyLiUk4tTymuTOUppwprAsO+gJumGw0tvx0H6atOTux4r6cxwUMJjkt35C/49j9GUuOH56FOVyOhMfxLqH+1sZumVGlj2KBaxr0SG24rOTmZffv2UVRURHp6OiNHjjztz9PS0qhevbpJ0YmIVBwP9WrC4fwipi1PMzsUcSIPK0y6seVpExGnDIsjtIpzynnV6l1EXEppecrds9bw7o87uKd7Q7NDMofFAjGDoFEvyEyFuXecPrFjdryxi8DRNBY5u4PbYcVrsD7ZKPmJvckoBdJIVxERkTITGx1Ir+YRvLd8ByO61CXQ38vskMQJXl+yjQ3pOSSP7oTVgqaliIhcHxtJ39hKXJ5yKp8AI4HhaGLH0UzI+APszulA7Vb+WcaTtQ3mJsCbcbB+NrS5He5bA4OSlNgQEREpBw/1akzu8WLeW17JeqlVUunZeXz0624aRwRQK8SfqGB/wgJ8nJbYACU3RMRFPT3AKE95dG4lLk8p5enteGJH9k54u4tRWrHgQUhdCIV55sToSmw2o2zn1DKeI3sh9wB0HgsPbIB+L0NwXbMjFRERqbCaRVajb2wk05bv5JCTpmWIeV5fshWA+3o0Mi0GJTdExCWVlqdsSD/Mu5Vteso/+Yc5nthRqyP863Wo2RrWfwzJt8CkejDrZmPSyj93e1QGxw5CVqpRtnNqGc8XY+HGJOj9DARoEoaIiIgz3N+zEXlFJZVvEl4lsz3zKHN/S+e2TnWoGeR3/geUE/XcEBGXdWp5Ss9mETSpEWB2SOawWk9O7CguNHZy+IcZx9sNN27FBbBrBWxZBFsWwtZFxrSVsGbQuDc0vg6iOxjTP2w2yMs887ncUeEx2PUL7FwGO5bB/t9hxFeOy3g0VldERMSpGkcE0L9VTWb+nMbIK+oRFuBjdkhSDl7+bgu+Xh7c3b2BqXEouSEiLu3pAS34ZcdBHp27ns/u6oKnh5t+CL9cpRM7zsbTBxpcY9yumwAHt8GWb2Hrt/DLW0YTTd8gaD8KmlwPc0cYH/hLd4G4y3jTkiLYuwZ2/mAkM/asAlsReHgbO1m6PwkBkcbPdWqCI6i2kcgRERERp7qvRyO+XP8X7/6wnSf7qc9VRbNx72G+2rCPe69pSPWq5iavlNwQEZcWWtWHZwbEcM9HlXx6ysWwWKB6I+PWZSwcPwzblxq7OaLbn0xswMnJK0PnGgmCoNpgdc4s8jM42lFiscCBP08mM9JWQGEuYIHIltDpLmN0a+3O4O1/8nmGJJ8sTSlN4PiHmfNziYiIVGINwqoysE00H6zcxehu9Ymo5mt2SFKGXlqUSqCfF6OurG92KEpuiIjr69sykq9/j+S1xVsrd3nKpfINhBY3GLecPY5LNo5lwoy+4OkLoQ2hemPjFvb3fWhD8HJQQ1lWJS6lTUBPTUgMTIIfX4Lt3xnfE1IfWt4M9a6Cet3AP8Txc52rjEdERESc7v4ejfh83V7eXradp/q3MDscKSOr0w6xNDWTx69rSqCf+eN+ldwQEbcwXuUpZaN08so/SzYCIqH/G5C1BTK3wF9r4Y95QOmYWQsE1zmZ9KjeGGq2Mf7o46H/KHFpZvTCOJ4D+Tlnuc8+/Vj3f8NXD52+o2ReIgx8F1oMgPpXnTkx5lzOV8YjIiIiTlM71J+b20Xz0a+7SexW39Smk1I27HY7LyxMJSzAh+Fd6pgdDuAGyY2EhAQWLFhAeHg4GzduBODRRx/lyy+/xNvbmwYNGjB9+nSCgoLMDVREylV1laeUjdLJK/8s2QiuB6H/aAJVdNzo3ZG15eQtcwvs/BGKj8MtH8K3/z6zxOXaCUbC42wsHuAXZPQA8QsCv2Dwr+54R0lgLajTpQxfABERETHD2Gsa8umadN5cuo3nBsaaHY5cph+3ZrEq7RBPD2iBv7drpBVcI4pzGDFiBGPHjmXYsGEnjvXq1YsJEybg6enJ448/zoQJE3j++edNjFJEnKFvy0i++r0Gry3eSq/mETSOUHnKRbuYkg0vX6gRY9xOZbPB4d3G4x0lJILrQK9nTiYuSpMYpffeVY1eGqc6mqEmoCIiIhVYdLA/t7SvxexVe7jrqgbUCvE3OyS5RHa7nRe+3Ux0sB9D2l/Eztpy5vL7urt160ZIyOl11b1798bT08jLdOrUifT0dDNCExETPD0ghqq+njzyyXqKS2xmh+OeSks2gmoZ9xfbi8JqheC64Bd4ZqlIUG2oGg5d74O2w6DZv6DelVAj1jifT8CZiQ04uaOk9PnUBFRERKTCGdu9EVarhTe+32p2KHIZFm7cz8a9R3igZ2O8PV0npeA6kVyiadOm0adPH7PDEBEnqV7Vh6cHtGBD+mGSftphdjiVW1kmJE7dUfLARuPeXcbTioiIyAWpEejL0I61+XTNXtKyjpkdjlyCEpudFxel0jC8KgPbRJkdzmncetX47LPP4unpydChZ6/tTkpKIi4ujri4ODIzM50YnYiUl34ta3J9bA1e/W4rWzJyzQ6n8irrhMTl7iipZGw2O5m5BezNziMztwCbzX7+B4mIiJjsrqsb4OVh4fUl2r3hjuat3cv2zGM83KsxHlYHu3FN5LYrxxkzZrBgwQJmzZqFxdEW578lJiaSkpJCSkoKYWHa3ixSUZSWpzyq8hRzKSFhCpvNTmpGLgMnr6Dr80sZOHkFqRm5SnCIiIjLCw/wZVjnuny+bi/bDhw1Oxy5CAXFJbzy3RZiowK5LqaG2eGcwS1XoQsXLmTSpEl88cUX+PurEY1IZVRanrJe5SlSCR08Vsjo91NIz84HID07n9Hvp7AhPYd5a9PZ9NcRCopLTI5SRETEsTHd6uPr5cFr2r3hVj5evYe9Ofk8cm2Tc24wMIvLT0uJj49n2bJlZGVlER0dzfjx45kwYQIFBQX06tULMJqKvvPOOyZHKiLO1q9lTb7+fR+vfreVXs0iaKTpKVJJFBSVnEhslErPzqeg2MaDH68HwMNqoV71KjSpEUDTiACa1DButYL9sf5jG6nNZufgsUIKi0vw9vQgtIr3Gd8jIiJSVkKr+jCiS13e/mE7Y7s3pEkNreFcXV5hMa8v2UaHeiF0a1Td7HAccvnkRnJy8hnHRo4caUIkIuKKnh4Qw9Hj69h/5Dh+3h746IOZVHDHCorZdSiP6GC/0xIc0cF+1Ktehe8e7Mbm/bmk7s9l8/5cNqTn8NWGfSe+z9/bg0YRJxMebesE4eVhZcwHv5GenU90sB9ThsXRJCJAf49ERKTcJHarz/u/7OLVxVt4+7Z2Zocj5zHz511kHS3g7dvauuSuDXCD5IaIyLmE+HvzcO8m3PPRGn0wkwrvyPEi7pi+Grvdzlu3tj3j9756VR/Cq/nSKCKAf7U6+bijBcVszTiZ8Ejdn8t3f2bwccoe3r29Hc8s2HRGicu8u7sSFuBj0k8qIiIVXZC/NwlX1OP1JVv546/DtKgZaHZIchaH84t454ftdG8SRvu6IWaHc1ZKboiIWzt4rPDEBzzQBzOpuHLyChk+bRV//HWE1+PbEBsVyLy7u15QKUlVH0/a1A6mTe3gE8fsdjuZRwvIzS92WOJSqJ4dIiJSzkZeUY8ZK3byyndbeG94e7PDkbN476cdHM4v4uHeTcwO5ZzcsqGoiEipwmLHvQfyCotNikik7B08WkD8lF/5c18u79zWjutjI7FaLYQF+BAV7E9YgM9F71SyWCyEB/hSzc+L6GC/0/4sOtgPb0+PsvwRREREzhDo50Vit/os/vMA6/fkmB2OOJB1tICpy3fSt2UkMVGuvbtGyQ0RcWvenh4OP5htycjlvZ92UKLRmOLmDuQeZ0jSSnZkHmXK8Dh6No8o0+cPreLNlGFxJ/4elZa4hFbxLtPziIiIODKiaz2C/b14+bstZociDkxeup3jRSU81Kux2aGcl5IbIuLWHH0we/e2dvy64yD/++pPBk1eweb9R0yOUuTS7Ducz5B3V7I3J58Zd3TgqsZhZX4Oq9VCk4gA5t3dlRWPd2fe3V0rbM+ahIQEwsPDiYmJOXHs0UcfpWnTprRs2ZKBAweSk5NjXoAiIpVQVR9PxlzVgB+2ZPLbrkNmhyOn2JuTz4crd3FTu2gahFU1O5zzUnJDRNyaow9mzSKr8Z++zXk9vg3p2fn0e305Ly1KpUA9BMSN7DmUx+B3fyEzt4APRnagc4PQcjvX5Za4uIsRI0awcOHC04716tWLjRs3smHDBho3bsyECRNMik5EpPIa1rkOVzWuTkGRjb3ZeWTmFmDT7lvTvbFkKwD39WhkciQXRskNEXF7jj6YWSwW+reqyeKHrqJ/q5q88f02+r6+XFcExC3szDrGLe/+wpH8Yj4c1ZF2dVy3M7k76datGyEhp7+WvXv3xtPT6K/eqVMn0tPTzQhNRKRS8/X04IGejXns0w10fX4pAyevIDUjVwkOE+3IPMonv6Vza8faRAf7mx3OBVFyQ0QqtOAq3rx8S2tm3NGe/MISbnrnF/47fyNHC9RwVFzT1oxcbnn3F44X20ge3YlWtYLMDqnSmDZtGn369DE7DBGRSufgsULuTV57xvS7g8cKTY6s8npl8Va8Pazc072h2aFcMCU3RKRSuLpJOIse7MbwznV5f+Uuer/8A0s3HzA7LJHTbPrrCEOSVmIHPk7sRPOa1cwOqdJ49tln8fT0ZOjQoWf9nqSkJOLi4oiLiyMzM9OJ0YmIVGxnm36nseTm2PTXEb5c/xcJV9QlLMDH7HAumJIbIlJpVPHx5Kn+LZh7Zxeq+Hhyx4zV3D97LQePFpgdmggb0nOIn7ISb08rc8Z0plFEgNkhVRozZsxgwYIFzJo1C4vl7P1GEhMTSUlJISUlhbCwsm/uKiJSWZ1t+t22zKN8vzkDu13lKc700qJUqvl6knhlA7NDuShKbohIpdOuTjAL7ruC+3s04uvf99HrlR/5fO3eMn/jtNnsZOYWqDGWnNdvu7IZOuVXAnw9mTOmM/WqVzE7pEpj4cKFTJo0iS+++AJ/f/eoKRYRqWgcTb9769a2fLxqDwkzUhiStJL1e3LMDbKS+G3XIZZsPsCYqxoQ6O9ldjgXxdPsAEREzODj6cGDvRpzfWwkj3+6gQc+Xsf8dXuZeGNLrBYLhcUleHt6EFrF+5ImR9hsdlIzchn9fgrp2flEB/sxZVhchR2xKZdu5Y6DJMxYTUQ1X2aN6kjNIL/zP0guSXx8PMuWLSMrK4vo6GjGjx/PhAkTKCgooFevXoDRVPSdd94xOVIRkcrl1Ol3p67BXotvQ+dVu3l18VYGvLWCfi0jefTaJtQJ1UWA8mC325m0MJXqVb25o2tds8O5aBZ7JdrjExcXR0pKitlhiIiLKbHZmfFzGos27uf+no147NMNDhMSNpud3OPFHDlexOH8Io7k/31/4uviE18PaV+LR+duOK1+NDrYj3l3d3Wr2kUpXz9tzWT0+ylEB/vz0aiOhFfzNTukclER338r4s8kIuKqjhYUk/TDdqb8tJNim42hHetwX49GhFTxNju0CsFms3PwWCFH8ovYlnmUwuIS/tUqyuywHDrX+692bohIpedhtTDyinpc2yKCIUkrz+jU/cyAGO6bvZajBcWcKx1stUA1Py8C/bwY3rmuw8ZYh/MLqV7V+5x1/VJxlS4eCotLyC8q4fUlW6kbWoUPR3WkelUlvURERByp6uPJQ72bcFunOryyeCvv/5LGp7+lc+fVDUjoWg8/bw+zQ3RbjnYbJ90eh81md7vdxkpuiIj8zQIOExLVq/pwY9toqvl5Uc3Xk0A/rxNJjGq+XgT6G8er+nieSFpk5hYQHex3xs6N7ZnHeGzuBp64vhnt64Y488cTkzlaPLx0cyuaRgYQ6KcrTyIiIucTXs2XCYNiGXlFXZ5fmMoL36bywS+7eKhXY25sF42Hm30YdwUHjxWeWJuAsfZN/CDFLXcbK7khIvK30k7d/0xI1Aj05an+LS7quUobY53Wc+P2OHZnHyM9O5+b3/mFXs0jePy6JjQM11SMysDR4uHhT9Yz7+6uJkcmIiLiXhqGBzBlWByrdh7iua//5LFPNzB1+U7G9WnK1U3CtEP2IlSkMbxKboiI/M1hQmJYHKGXUM95tsZYzWpW48pGYUxbvpN3fthB71d+5Jb2tXigZ2MiKmi/BTFUpMWDiIiIK+hQL4R5d3fhm437mbRwM3fMWE2n+iE8PaAFwf4+l90gvjKw2XF4cc/b0/1KfZTcEBH529kSEpf6Zmi1Whxu5/P39mTsNY2I71CbN77fxqxfdzFv7V5GXVGfMVfVJ8DXvcZuyfkVldjYd/h4hVk8iIiIuAqLxcL1sZH0bBZB8qrdfP9nBpm5hSTM0MS680nPzuOp+Rt54aaWJxrhX87FPbNpWoqIiMl2H8zjhUWpfLn+L0KqeHPvNQ0Z2rEO3p5Ws0OTMnC0oJh7Zq3hSH4R/9evOffNXlvpFlsV8f23Iv5MIiIVwf7D+dz0zi9nXEyYM6azxq2fIjO3gMHv/sLBowV8fk9XAny93GKni6aliIi4sNqh/rwR34bRV9Zj4jebGf/lJqavSOORa5vQLzbSZd9c4PTpH67+ZmiGjCPHuWP6alIzcnn2hhha1woqs51BIiIicqYSm91hGeieQ3k8Onc9/VrW5LoWNQh2w50JZeVwfhHDp61i/+HjfDiqA/XDqpodUplQckNExEW0jA5i1qiO/LAlk4nfbOa+5LVM+XEHT/RpSqf6oS6XRHA0/aOy7ES4EFsychkxbRWH84uYOjyOq5uEA7hd53ERERF3crYG8b5eHvyVc5wnPvudJz/fSNeG1enXMpJrm9cg0L/ylATnF5YwauZqth7I5b3h7WlXp+JM71NZioiICyqx2Zm3di8vL0olopovT1zflIfmrC+TJMLF7raw2+3kFhSTc6yI7LxCsvMKyckrolFEVcZ88NsZiwd3HB1W1n7elsWYD3/Dz8uDaSPaExMVaHZIpqqI778V8WcSEakIznXxxWKBP/46woIN+/jq97/YcygfLw8L3RqF0a+V0bejIvc+Kyy2kfhBCj9syeTN+Lb0bRlpdkgXTWUpIiJuxsNq4aZ20fRrGcm2A0e588PfThshOvr9FN68tQ3f/3kAD6sVTw8LXh4WPKxWvDwseFqteFoteHpY8PT4+7+tFoL9vfHxsnL3rDUn3vDfjG/D1gNH2XrgKNnHCsnOKyLnlCRGTn4RJbYz8+AfJ3bS9A8H5q1N57G5G6hXvQrT7+hAlOp7RUREnOZ8DeJjogKJiQrk8euasCH9MAs2/MVXG/axZPMBvD2tXN04jH6tatKjaThVfDzLtATXzHLeEpudh+asY1lqJhMGxbplYuN8lNwQEXFhvl4eBPt7OUwiFBTZeP37bRf1fO/e3o5nFmw6LVEyNnkt/9evOTN/TiPY35sgfy+C/b1pUiOAIH9vgvy8TjseXMWLIH9v/L0cb/s8kFtAaFUffL0q1xQQu93OW0u38eKiLXSuH8o7t7cj0K/iXv0RERFxVWebWHcqi8VCq1pBtKoVxBN9mrF2TzYLNuzj69/3sWhTBr5eVhK61uPaFjW456M1l7171sxyXrvdzv+bv5EFG/Yxrk9T4jvULtfzmUXJDRERF3e22tH6YVVJm9iXEpudohIbxTY7JSV2imw2ikuMYyU2O8U2G0UldopL7FT18XCYKGlRsxqp/+tzUXHZbHamDIs77U36tVta8/SXm8gvKuH1+DY0jggok9fA1RWV2Pi/zzcye/UeBraJ4vkbW2rajYiIiJuwWi20qxNCuzoh/F/f5qxOO8SCDftoVyf4RGIDTu6efWVwa+ak7MHTw4KH1dgx61G6Y9Zq7KQ17k/urO1cP4TED87cieuMct4XF6Uy69fd3HlVA+68qkG5nstMSm6IiLi40CreZyQRTp0/7mG14GG9sF0SmbkFDhMlPp4Xv8vibNs+7+vRyOhG/sZy/t2nKcO71MViqbgNRktHvf6wJZN7r2nIQ70aV+ifV0REpCKzWi10rB9Kx/qhpGfnObwoZLHAim1ZxoUl26kXlOwn7v/JrHLepB+389bS7cR3qMXj1zUp13OZzeWTGwkJCSxYsIDw8HA2btwIwKFDh7jllltIS0ujbt26zJkzh+DgYJMjFREpH+erHb0Y50uUXEps/7za0L1pOAsf6MZjczfw1JebWJqayQs3tyQ8wPeSzuHKTh31OnFQLEMq6DZPERGRysjnLLtn64RW4ecnepz1cXa7/fRkR4mdvMJih8+161Ae2XlF5dJ8/OPVu3nu6830bRnJ/26IrfAXX1x+z+yIESNYuHDhaccmTpxIjx492Lp1Kz169GDixIkmRSci4hylSYSoYH/CAnwuuTbz1ETJise7M+/uruVS61m9qg9Th8fxzA0xrNxxkOte/YnFmzLK9Bxm25KRy8C3VrDr4DGmDo9TYkNERKSCKb0oFB1sNAe/0ItCFovR0N3Xy4MqPp4E+nsRUc33jOd6I74Nk5duo98by7l/9lp2H8wrs9i/+X0fT3z2O1c1DuOVwa3xcFLjUjO5xSjYtLQ0+vXrd2LnRpMmTVi2bBmRkZHs27ePq6++mtTU1PM+j8a2iYg437YDudyXvI5N+45wa8faPNm3Gf7eLr9x8Jw06vXiVMT334r4M4mIyJnKe1pKbkEx7/6wnWkrdlJiszO0Yx3GXtOQ6lUvvQ/HT1szGTkjhdjoQD4Y2cHt112nOtf7r8vv3HAkIyODyEhjdE2NGjXIyKhYVwNFRCqShuEBzLunC2O61Sd51W76vbGc39MPmx3WJZu3Np3h01cRGejLvHu6KrEhIiJSgZXV7tmzPVegnxePXdeUHx7tzk3tavHByl1cNWkpry7ewtGC4os+x5rd2Yz54Dfqh1Vh2vD2FSqxcT5umdw4lcViOWftUFJSEnFxccTFxZGZmenEyEREpJSPpwdPXN+MWSM7kldQwsDJK3h72XZKHDTcKgs2m53M3AL2ZueRmVuA7TLOc+pz/Z6ew/s/7yKuTgif3NmFqCC/MoxaREREKquIar5MGBTLtw9048pGYby6eCtXv7CUmT+nUVhsu6Dn2Lz/CHdMX01YgA/vj+xAoH/lGknvlmmciIgI9u3bd6IsJTw8/Kzfm5iYSGJiImBsYREREfN0aVidhQ9cyb/n/c7zCzezLPUAr9zSmpplmCQoqznyJTY7xwtLSDt0jDF/j26LDvbjlVta0zIqEB+vi58wIyIiInIuDcOr8s7t7VizO5vnv9nMf7/4g6nLd/LItU3oFxt51rXM7oN53D51Fb5eVj4c2bFCNnI/H7dMbvTv35+ZM2cybtw4Zs6cyYABA8wOSURELlCQvzdv3dqWub+l89QXf3Ddqz/y7MBY/tWq5mU/d3GJjYwjx08kNuDkHPnX49swZ/UejheVkF9UwvEiG/lFJRSc8t/HT9xsFJbYePf2djyzYNNpz/Xgx+uMmfRKboiIiEg5aVs7mNmJnVi2JZPnv9nMfclrefeH7Yzr05QrG4Wd9r0ZR44zdOpKikpszBnTmVoh/iZFbS6XT27Ex8ezbNkysrKyiI6OZvz48YwbN47BgwczdepU6tSpw5w5c8wOU0RELoLFYuHmuFp0qBfC/bPXcW/yWrZn5jKkfW1KbPazNuzKKyxmb3Y+6Tn5/JWTz97sfPae8t/7jxwnebTjOfLFJXa+33wAXy8PfL2s+Hl54OPlQZC/94mvfU+7WakT4m/KTHoRERERi8VC9ybhdGsUxvx1e3lp0RZun7qKKxpW57//ak6QvzfHi0rYkXWMqEA/xsU3o3FEgNlhm8blkxvJyckOjy9ZssTJkYiISFmrE1qFT+7szCcpe6gTWoWb3vnlRPnHG/FtSEk7xOq0bPbmGEmMnLyi0x7vabVQI9CXmkF+dKofSlSwH9X8vBzOka9XvQqr/tPzouLLzC1w+Fzentq1ISIiIs7hYbUwqG00fVtG8uHK3SzbnMGB3ALumLH6xLpp8tC2xNSs3E3OXT65ISIiFZuXh5VezWswcPKK08o/7k1ey3//1ZxPfkunZpAfrWsFERXsR1TQ37dgP8IDfM+Y226z2ZkyLO6Mnhvnm0nvSOl8+7J4LhEREZHL4ePpwcgr6tE3tsaJC0JgrJvunrXGKJsNuPQRsu5OyQ0RETFdYXGJw/KP5pHVWPTgVRf1XFarhSYRAcy7u+tlz6Qvy+cS8yUkJLBgwQLCw8PZuHEjAIcOHeKWW24hLS2NunXrMmfOHIKDg02OVERE5OxKbHaVzTrg9qNgRUTE/Xl7ehAdfPrElMsp/yjvmfTinkaMGMHChQtPOzZx4kR69OjB1q1b6dGjBxMnTjQpOhERkQtT1uumikLJDRERMV1p+UfpG7XKP6Q8dOvWjZCQkNOOzZ8/n+HDhwMwfPhwPv/8cxMiExERuXBaNzmmshQRETGdyj/ELBkZGURGRgJQo0YNMjIyzvq9SUlJJCUlAZCZmemU+ERERP5J6ybHlNwQERGXUFr+IWIWi8WCxXL2hWFiYiKJiYkAxMXFOSssERGRM2jddCaVpYiIiEilFRERwb59+wDYt28f4eHhJkckIiIil0LJDREREam0+vfvz8yZMwGYOXMmAwYMMDkiERERuRRKboiIiEilEB8fT+fOnUlNTSU6OpqpU6cybtw4vvvuOxo1asTixYsZN26c2WGKiIjIJVDPDREREakUkpOTHR5fsmSJkyMRERGRsqadGyIiIiIiIiLi1ix2u91udhDOUr16derWrVvmz5uZmUlYWFiZP6+cn1578+i1N4ded/Potb90aWlpZGVlmR1GmdKaouLRa28Ove7m0WtvHr32l+5ca4pKldwoL3FxcaSkpJgdRqWk1948eu3NodfdPHrtxRn0e2Yevfbm0OtuHr325tFrXz5UliIiIiIiIiIibk3JDRERERERERFxa0pulIHExESzQ6i09NqbR6+9OfS6m0evvTiDfs/Mo9feHHrdzaPX3jx67cuHem6IiIiIiIiIiFvTzg0RERERERERcWtKblyGhQsX0qRJExo2bMjEiRPNDqdSqVu3LrGxsbRu3Zq4uDizw6nQEhISCA8PJyYm5sSxQ4cO0atXLxo1akSvXr3Izs42McKKy9Fr/9RTTxEVFUXr1q1p3bo1X3/9tYkRVlx79uyhe/fuNG/enBYtWvDaa68B+t2X8qM1hXm0pnAerSnMozWFebSmcB4lNy5RSUkJ99xzD9988w2bNm0iOTmZTZs2mR1WpbJ06VLWrVunMUrlbMSIESxcuPC0YxMnTqRHjx5s3bqVHj16aCFeThy99gAPPvgg69atY926dVx//fUmRFbxeXp68tJLL7Fp0yZWrlzJW2+9xaZNm/S7L+VCawrzaU3hHFpTmEdrCvNoTeE8Sm5colWrVtGwYUPq16+Pt7c3Q4YMYf78+WaHJVLmunXrRkhIyGnH5s+fz/DhwwEYPnw4n3/+uQmRVXyOXntxjsjISNq2bQtAQEAAzZo1Y+/evfrdl3KhNYVUFlpTmEdrCvNoTeE8Sm5cor1791KrVq0TX0dHR7N3714TI6pcLBYLvXv3pl27diQlJZkdTqWTkZFBZGQkADVq1CAjI8PkiCqXN998k5YtW5KQkKAtjE6QlpbG2rVr6dixo373pVxoTWEurSnMpX9XzaU1hXNpTVG+lNwQt7R8+XLWrFnDN998w1tvvcWPP/5odkiVlsViwWKxmB1GpXHXXXexfft21q1bR2RkJA8//LDZIVVoR48e5cYbb+TVV1+lWrVqp/2ZfvdFKgatKVyH/l11Lq0pnEtrivKn5MYlioqKYs+ePSe+Tk9PJyoqysSIKpfS1zo8PJyBAweyatUqkyOqXCIiIti3bx8A+/btIzw83OSIKo+IiAg8PDywWq2MHj1av/vlqKioiBtvvJGhQ4cyaNAgQL/7Uj60pjCX1hTm0r+r5tGawnm0pnAOJTcuUfv27dm6dSs7d+6ksLCQ2bNn079/f7PDqhSOHTtGbm7uif9etGjRaZ2fpfz179+fmTNnAjBz5kwGDBhgckSVR+mbIMC8efP0u19O7HY7I0eOpFmzZjz00EMnjut3X8qD1hTm0ZrCfPp31TxaUziH1hTOY7Hb7Xazg3BXX3/9NQ888AAlJSUkJCTwn//8x+yQKoUdO3YwcOBAAIqLi7n11lv12pej+Ph4li1bRlZWFhEREYwfP54bbriBwYMHs3v3burUqcOcOXPUpKocOHrtly1bxrp167BYLNStW5d33333RL2mlJ3ly5dz5ZVXEhsbi9VqXAd47rnn6Nixo373pVxoTWEOrSmcS2sK82hNYR6tKZxHyQ0RERERERERcWsqSxERERERERERt6bkhoiIiIiIiIi4NSU3RERERERERMStKbkhIiIiIiIiIm5NyQ0RERERERERcWtKboiIy3nqqad48cUXzQ5DRERE3JzWFCKVh5IbIiIiIiIiIuLWlNwQEZfw7LPP0rhxY6644gpSU1MBmDJlCu3bt6dVq1bceOON5OXlkZubS7169SgqKgLgyJEjp30tIiIilZvWFCKVk5IbImK63377jdmzZ7Nu3Tq+/vprVq9eDcCgQYNYvXo169evp1mzZkydOpWAgACuvvpqvvrqKwBmz57NoEGD8PLyMvNHEBERERegNYVI5aXkhoiY7qeffmLgwIH4+/tTrVo1+vfvD8DGjRu58soriY2NZdasWfzxxx8AjBo1iunTpwMwffp07rjjDtNiFxEREdehNYVI5eVpdgAiImczYsQIPv/8c1q1asWMGTNYtmwZAF27diUtLY1ly5ZRUlJCTEyMuYGKiIiIS9OaQqTi084NETFdt27d+Pzzz8nPzyc3N5cvv/wSgNzcXCIjIykqKmLWrFmnPWbYsGHceuutusIiIiIiJ2hNIVJ5Wex2u93sIEREnn32WWbOnEl4eDi1a9embdu2VKlShUmTJhEWFkbHjh3Jzc1lxowZAOzfv5969eqxb98+goKCTI1dREREXIfWFCKVk5IbIuKW5s6dy/z58/nggw/MDkVERETcmNYUIhWDem6IiNu59957+eabb/j666/NDkVERETcmNYUIhWHdm6IiIiIiIiIiFtTQ1ERERERERERcWtKboiIiIiIiIiIW1NyQ0RERERERETcmpIbIiIiIiIiIuLWlNwQEREREREREbem5IaIiIiIiIiIuLX/D8UbmlvlV5PgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x1080 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(\n",
    "    nrows=4, \n",
    "    ncols=2, \n",
    "    figsize=(15, 15), \n",
    "    facecolor=\"w\", \n",
    "    edgecolor=\"k\"\n",
    ")\n",
    "\n",
    "indexes = random.sample(range(len(forecast)), 8)\n",
    "\n",
    "for i, index in enumerate(indexes):\n",
    "    \n",
    "    yhat = forecast[index]\n",
    "    y = Yval[index]\n",
    "\n",
    "    frame = pd.concat([\n",
    "        pd.DataFrame({'day': range(len(y)), 'temp': y, 'type': 'original'}),\n",
    "        pd.DataFrame({'day': range(len(y)), 'temp': yhat, 'type': 'forecast'})\n",
    "    ])\n",
    "    \n",
    "    frame['temp'] = [(x * train_std['temp']) + train_mean['temp'] for x in frame['temp']]\n",
    "    \n",
    "    sns.lineplot(x='day', y='temp', ax = axes[i // 2, i % 2], data=frame, hue='type', marker='o')\n",
    "        \n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Final average absolute error: 1.69 C\n"
     ]
    }
   ],
   "source": [
    "# Calculating the total average absolute error \n",
    "error = 0 \n",
    "n = 0\n",
    "residuals = []\n",
    "\n",
    "for i in range(Yval.shape[0]):\n",
    "    true = Yval[i]\n",
    "    hat = forecast[i]\n",
    "    n += len(true)\n",
    "    \n",
    "    true = np.asarray([(x * train_std['temp']) + train_mean['temp'] for x in true])\n",
    "    hat = np.asarray([(x * train_std['temp']) + train_mean['temp'] for x in hat])\n",
    "    \n",
    "    residual = true - hat\n",
    "    residuals.append(residual)\n",
    "    \n",
    "    error += np.sum([abs(x) for x in true - hat]) \n",
    "\n",
    "print(f'Final average absolute error: {round(error / n, 2)} C')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Flattening the list of arrays of residuals\n",
    "residuals = np.asarray(residuals).flatten().tolist()\n",
    "abs_residuals = [abs(x) for x in residuals]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.hist(residuals, bins=40, edgecolor='black')\n",
    "plt.title('Distribution of errors - 24 hour forecast')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plt.hist(abs_residuals, bins=40, edgecolor='black')\n",
    "plt.title('Distribution of errors - 24 hour forecast - absolute')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median absoulte error: 1.27 C\n"
     ]
    }
   ],
   "source": [
    "print(f\"Median absoulte error: {round(np.median(abs_residuals), 2)} C\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
